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SME

Compliance and Regulatory Expert

SMEBusiness and Consulting

Up to $40/hr

14 countries

About this role

In this hourly, remote contractor role, you will work as a Compliance & Regulatory Subject Matter Expert (SME) to review AI-generated compliance, regulatory, and risk-related outputs and/or create expert compliance content, evaluating reasoning quality and step-by-step decision-making while providing precise written feedback. You will assess solutions for accuracy, clarity, completeness, and adherence to the prompt; identify errors in regulatory interpretation, policy/control design, compliance monitoring logic, reporting/disclosure requirements, and risk-based reasoning; fact-check compliance claims and terminology; write high-quality explanations and model outputs that demonstrate correct approaches; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Business, Law, Finance, Risk/Compliance, Public Policy, or a related field (or equivalent professional experience). - 5+ years of professional experience in compliance and/or regulatory roles (financial services, healthcare, tech/privacy, insurance, energy, or other regulated industries). - Strong command of compliance fundamentals: risk-based compliance programs, control design, monitoring/testing, issue management, remediation tracking, and documentation standards. - Experience interpreting regulations and translating them into policies, procedures, training, and operational controls. - Familiarity with common frameworks and concepts (as applicable): GRC tooling, ISO-style controls, SOC 2 awareness, SOX awareness, AML/KYC basics, privacy concepts (GDPR/CCPA), vendor/third-party risk. - Excellent judgment in identifying missing assumptions, overconfident claims, and “false certainty” in regulatory guidance; minimum C1 English proficiency. - Strong writing skills: ability to produce clear, defensible documentation (policies, SOPs, control narratives, risk assessments). - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Professional certifications (e.g., CRCMP, CAMS, CCEP, CIPP/E, CISA, CIA, CRISC) are a plus. - Prior experience with AI data training/annotation, compliance QA, audit/regulatory exams support, or policy editorial work is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard compliance outputs (policies, control descriptions, monitoring plans, risk assessments, regulatory summaries). - Optimize AI Performance: Evaluate and rank AI responses to improve correctness, defensibility, clarity, and practical usefulness. - Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe/noncompliant guidance, misleading certainty, and bias; validate reliability across scenarios. Skills - Regulatory Compliance - Third-Party Risk - Procedures - Controls Testing - Regulatory Research - Reporting - Monitoring - Risk Assessment - GRC - English - Audit Readiness - Policy Additional skills - Regulatory Compliance - Compliance Program Management - Risk-Based Compliance - Regulatory Risk Assessment - Control Design - Compliance Monitoring & Testing - Issue Management - Remediation Tracking - Policy Development - Procedure Writing (SOPs) - Compliance Documentation - Regulatory Interpretation - Governance, Risk & Compliance (GRC) - GRC Tools - Third-Party Risk Management - Vendor Risk Management - Internal Controls - SOX Compliance - SOC 2 - ISO 27001 - AML - KYC - GDPR - CCPA - Privacy Compliance - Audit Support - Regulatory Exams Support - Compliance Training - Compliance QA - Regulatory Change Management

SME

C++ Engineer

SMESoftware, AI and Data

Up to $65/hr

17 countries

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About this role

As a C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.| Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field. - 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications. - Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL. - Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management. - Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools. - Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines. - Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability. - Comfort working with version control, CI/CD workflows, and automated testing frameworks in modern C++ projects. - Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus. - Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex C++ code. Responsibilities - Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. - Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. - Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Skills - Code Review - Performance Optimization - C++ Programming - Memory Management - Remote Contractor - English - Debugging - Concurrency - Systems Programming - Low-Latency Development Additional skills - C++ - Modern C++ (C++11/14/17/20) - STL - Templates - Move Semantics - Smart Pointers - Systems Programming - Concurrency - Multithreading - Memory Management - Performance Optimization - Linux - Operating Systems - CMake - Bazel - GCC - Clang - LLDB - GDB - Profiling - Valgrind - Sanitizers (ASan/TSan/UBSan) - Code Review - Coding Standards - Git - CI/CD - Unit Testing - Google Test (gTest) - Technical Writing

SME

Bulgarian Team Lead

SMELanguages / Business and Consulting

Up to $25/hr

Bulgaria

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In this hourly, remote contractor role, you will work as a Bulgarian Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Bulgarian AI training projects. You will review AI-generated Bulgarian content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Bulgarian and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Bulgarian quality leadership will directly help improve the world’s premier AI models by ensuring that Bulgarian training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Requirements - Bachelor’s or Master’s degree in Bulgarian, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field. - Native or near-native Bulgarian proficiency with strong reading and writing skills. - Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English. - 3+ years of professional experience in Bulgarian writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows. - Strong understanding of Bulgarian grammar, spelling conventions, punctuation, Cyrillic script, tone, register, word order, aspect, definiteness, and cultural context. - Ability to evaluate Bulgarian content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect aspect or definiteness, Cyrillic/Latin-script errors, hallucinated claims, ambiguity, or inconsistent terminology. - Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred. - Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. - Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation. - Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus. Responsibilities - Quality monitoring: Spot-check Bulgarian items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. - Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations. - Question handling: Respond to trainer/QA questions clearly and promptly, especially around Bulgarian wording, grammar, Cyrillic script, register, translation fidelity, cultural context, terminology, and edge cases. - Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. - Documentation: Create and maintain Bulgarian project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials. - Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Bulgarian-specific style requirements. - Quality alignment: Ensure all trainers and QAs apply Bulgarian language guidelines consistently and understand updates as projects evolve. - Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Bulgarian-language projects. Skills - LLM Evaluation - Translation Quality Review - Bulgarian - Style Guides - AI Training - Documentation - Trainer Feedback - Bulgarian Quality Assurance - English - Localization QA Additional skills - Bulgarian Language - Bulgarian Grammar - Cyrillic Script - English Proficiency - Copyediting - Proofreading - Translation - Localization - Linguistic QA - Content QA - Quality Assurance - Style Guides - Terminology Management - Glossary Management - Rubric-Based Evaluation - Error Classification - LQA Testing - AI Training - Data Annotation - LLM Evaluation - Prompt Evaluation - Fact-Checking - Cultural Localization - Remote Team Leadership - Reviewer Training - Quality Documentation - Google Sheets - Google Docs - Discord - Project Management Tools - Attention to Detail

SME

Red-Teaming Quality Assurance Lead (QAL)

SMEBusiness and Consulting / Education and Humanities

Up to $100/hr

United States

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In this hourly, remote contractor role, you will work as a Red-Teaming Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across AI red-teaming and safety-evaluation projects. You will review AI-generated safety evaluations, adversarial prompts, risk analyses, and trainer/QA work; evaluate output quality against project guidelines; provide precise written feedback; and ensure that all contributors follow the expected quality standards. You will assess work for risk identification, adversarial reasoning, policy awareness, safety taxonomy alignment, prompt quality, scenario realism, vulnerability coverage, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong AI safety/red-teaming judgment, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your red-teaming quality leadership will directly help improve the world’s premier AI models by ensuring that safety training data is realistic, nuanced, policy-aligned, well-documented, and useful for identifying model vulnerabilities. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s, Master’s, or professional experience in Computer Science, Cybersecurity, AI Safety, Trust & Safety, Public Policy, Psychology, Linguistics, Law, Security Studies, Risk Analysis, or a related field. - Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback. - 3+ years of experience in AI safety, red-teaming, cybersecurity, trust and safety, content policy, risk analysis, adversarial testing, model evaluation, content moderation, or related workflows. - Strong understanding of AI risk categories, adversarial prompting, jailbreak patterns, harmful-content taxonomies, misuse scenarios, policy interpretation, model behavior, and safety evaluation principles. - Ability to evaluate red-teaming content against detailed rubrics and identify issues such as weak adversarial design, unrealistic scenarios, poor risk categorization, policy misinterpretation, unsafe outputs, or superficial vulnerability testing. - Familiarity with areas such as prompt injection, social engineering, cybersecurity abuse, fraud, self-harm safety, extremist content, misinformation, privacy risk, illicit behavior, bias, and model refusal behavior is preferred. - Experience leading or supporting remote teams of red-teamers, reviewers, policy analysts, annotators, researchers, or QAs is strongly preferred. - Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. - Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation. - Experience with AI training, LLM evaluation, safety evaluations, content moderation QA, policy QA, or rubric-based review is a strong plus. Responsibilities - Quality monitoring: Spot-check red-teaming items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. - Safety and red-team review: Evaluate adversarial prompts, model responses, risk classifications, safety analyses, policy explanations, and vulnerability reports for accuracy, realism, and usefulness. - Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and red-teaming-specific review standards. - Question handling: Respond to trainer/QA questions clearly and promptly, especially around risk categories, adversarial strategy, policy boundaries, edge cases, severity, and rubric interpretation. - Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed. - Documentation: Create and maintain red-teaming project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials. - Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and red-teaming-specific review requirements. - Quality alignment: Ensure all trainers and QAs apply red-teaming and safety-review guidelines consistently and understand updates as projects evolve. - Risk review: Flag unsafe, low-quality, unrealistic, policy-inconsistent, or insufficiently documented red-team items. - Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for AI red-teaming projects. Skills - LLM Evaluation - AI red-teaming - Safety Taxonomies - Adversarial Testing - AI Safety - Trust And Safety - Risk Assessment - Prompt Engineering - Trust & Safety - Trainer Feedback - Policy Evaluation Additional skills - AI Safety - Red Teaming - Adversarial Testing - LLM Evaluation - Model Safety Evaluation - Prompt Injection - Jailbreak Testing - Adversarial Prompting - Trust & Safety - Content Moderation - Content Policy - Policy Interpretation - Risk Analysis - Safety Rubrics - Quality Assurance (QA) - QA Auditing - Calibration & Inter-Rater Reliability - Harmful Content Taxonomies - Misuse Scenario Analysis - Cybersecurity - Social Engineering - Fraud & Scam Detection - Privacy Risk Assessment - Misinformation Analysis - Extremism & Terrorism Content - Self-Harm Safety - Bias & Fairness Evaluation - Technical Writing - Remote Team Leadership - Google Sheets

SME

Hebrew Language Expert

SMELanguages

Up to $50/hr

Israel

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About this role

You will review AI-generated Hebrew and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with SME Careers (a subsidiary of SuperAnnotate), a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Linguistics, Translation, Hebrew Language, Communications, Journalism, or a related field. - Native or near-native Hebrew proficiency with strong writing and editing skills across formal and informal registers. - Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence. - 3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). - Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. - Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. - Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. - Comfort working independently in a remote, asynchronous environment with reliable availability and communication. - Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. - Familiarity with Israeli cultural context and terminology norms across common domains (news, education, consumer, tech) is preferred. Responsibilities - Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects (Hebrew/English; requires C1+ English). - Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance (Hebrew/English; requires C1+ English). - Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases (Hebrew/English; requires C1+ English). Skills - Hebrew - Cultural Nuance - Localization - Bilingual Evaluation - Style Guide Adherence - Fact-Checking - Terminology Management - Error Taxonomy - English - Linguistic Quality Assurance Additional skills - Hebrew (Native) - English (C1) - Translation (Hebrew-English) - Localization - Transcreation - Copy Editing - Proofreading - Linguistic QA - Editorial QA - Content Quality Review - Terminology Management - Glossary Development - Style Guide Development - Orthography & Spelling - Grammar & Syntax - Register Adaptation - Bilingual Evaluation - Fact-Checking - Source Verification - Critical Reading - Rubric-Based Evaluation - Attention to Detail - AI Data Annotation - LLM Evaluation - Content Moderation - Remote Asynchronous Work - Israeli Cultural Knowledge - Technical Writing - CAT Tools - Quality Assurance

SME

C# Engineer

SMESoftware, AI and Data

Up to $65/hr

16 countries

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This is an hourly-paid, fully remote contractor role where you will review AI-generated responses and/or generate C/.NET engineering content, evaluating reasoning quality and step-by-step problem-solving. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical claims; and rate/compare multiple responses based on correctness and reasoning quality. You will also produce high-quality explanations and model solutions that demonstrate correct methods and clear communication. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field (or equivalent professional experience). - 2+ years of professional experience using C. - Strong experience with C and the .NET ecosystem (ASP.NET Core, Web APIs, async/await, LINQ). - Knowledge of relational databases and data access patterns (SQL Server and/or PostgreSQL; EF Core and/or Dapper). - Experience with modern engineering practices and tooling (Git, CI/CD, Docker). - Strong advantage: experience solving Medium–Hard algorithmic problems (e.g., LeetCode/HackerRank-style). - Strong English writing skills; Minimum C1 English proficiency. - Highly detail-oriented, able to spot subtle logical/technical issues and explain corrections clearly. - Preferred: prior experience with AI data training, evaluation, annotation, or technical QA of model outputs. - Able to work as an hourly, remote contractor with reliable internet and consistent availability. Responsibilities - Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. - Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. - Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Skills - Docker - Web APIs - ASP.NET Core - async/await - .NET - C - LINQ - SQL - EF Core - English Additional skills - C - .NET - .NET Core - ASP.NET Core - REST APIs - Web API Development - Async/Await - LINQ - Entity Framework Core - Dapper - SQL - SQL Server - PostgreSQL - Relational Databases - Data Access Layer - Git - CI/CD - Docker - Unit Testing - xUnit - NUnit - Test Automation - Microservices - SOLID Principles - Design Patterns - Algorithmic Problem Solving - Data Structures - Code Review - Technical Writing - English (C1)

SME

Physicist

SMESTEM / Software, AI and Data

Up to $30/hr

India

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We’re seeking physicists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check physics information; write high-quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality. Requirements - You hold an MS or PhD in Physics or a related field in one of the top 100 universities. - Confident in physical reasoning, mechanics, electromagnetism, optics, thermodynamics/statistical mechanics, and modeling/systems thinking - You have developed or critically reviewed complex physics content (e.g., problem banks, proofs, textbook sections, research notes). - Expert at fact-checking information using public sources across multiple domains. - You communicate physics clearly and turn advanced theory into real-world solutions. - Background in research, analytical writing, debate, programming, or physics is preferred. - Published in a peer-reviewed journal. - English proficiency C1 and above with excellent writing skills. - Bonus: Data labeling, RLHF, or AI model evaluation experience. Responsibilities - Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. - Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. - Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Skills - Nuclear Physics - Research - Computational Physics - Reasoning - Physics - Laser Physics - Experimental Physics - Medical Physics - English - Theoretical Physics Additional skills - Classical Mechanics - Electromagnetism - Optics - Thermodynamics - Statistical Mechanics - Quantum Mechanics - Mathematical Physics - Computational Physics - Physical Modeling - Systems Thinking - Numerical Methods - Scientific Computing - Data Analysis - Python - MATLAB - C++ - Scientific Writing - Analytical Writing - Peer-Reviewed Publishing - Literature Review - Fact-Checking - Research Methods - Problem Solving - Critical Thinking - Technical Communication - Content Development - Proofreading & Editing - Peer Review - AI Model Evaluation - Data Labeling

SME

Clinical Researcher

SMEHealthcare

Up to $50/hr

Brazil

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In this hourly, remote contractor role, you will work as a Clinical Researcher Subject Matter Expert (SME) to review AI-generated clinical research and biomedical content and/or create expert research content, evaluating reasoning quality and step-by-step scientific problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in study design, statistics, endpoint selection, bias/confounding, clinical trial methodology, and evidence interpretation; fact-check medical and scientific claims; write high-quality explanations and model solutions that demonstrate correct research reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your clinical research expertise directly helps improve the world’s premier AI models by making their evidence appraisal, trial interpretation, and research communication more accurate, reliable, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in a relevant field (e.g., Public Health/MPH, Epidemiology, Biostatistics, Clinical Research, Biomedical Sciences, PharmD, MD/DO, RN, or related). - 5+ years of professional experience in clinical research (academia, hospitals, CROs, biopharma, public health research, or similar). - Strong command of clinical research fundamentals: study design, endpoints, inclusion/exclusion criteria, power/sample size intuition, and interpretation of results. - Comfortable evaluating statistical reasoning (effect sizes, confidence intervals, p-values, multiple comparisons, missing data, sensitivity analyses). - Deep understanding of bias, confounding, and causality (randomization, blinding, selection bias, measurement bias, survivorship, collider bias). - Familiarity with clinical trial operations concepts (protocols, deviations, AE/SAE logic, data quality, monitoring) and/or GCP principles is a plus. - Exceptional attention to detail when fact-checking; minimum C1 English proficiency with strong scientific writing. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, medical/scientific editorial QA, systematic reviews, or guideline work is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard answers across clinical research methodology, interpretation, and scientific communication. - Optimize AI Performance: Evaluate and rank AI responses to improve correctness, rigor, clarity, and contextual relevance. - Ensure Model Integrity: Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across use cases. Skills - Bias & Confounding - Clinical Trial Design - Biostatistics - Regulatory/GCP Awareness - Study Methodology - Evidence-Based Medicine - Data Interpretation - Confounding - Epidemiology - Literature Review - English - Bias Additional skills - Clinical Trial Design - Epidemiology - Biostatistics - Study Protocol Development - Endpoint Definition - Inclusion/Exclusion Criteria - Sample Size Estimation - Power Analysis - Statistical Interpretation - Effect Size Analysis - Confidence Intervals - Hypothesis Testing (p-values) - Multiple Comparisons - Missing Data Methods - Sensitivity Analyses - Bias & Confounding Assessment - Causal Inference - Randomization - Blinding - Selection Bias - Measurement Bias - Good Clinical Practice (GCP) - Clinical Trial Monitoring - Adverse Event (AE) Reporting - Serious Adverse Event (SAE) Reporting - Protocol Deviations - Data Quality Management - Scientific Writing - Systematic Reviews - Medical Editing / Editorial QA

SME

SEO & Digital Marketing Expert

SMEBusiness and Consulting

Up to $45/hr

Brazil

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In this hourly, remote contractor role, you will work as an SEO & Digital Marketing Subject Matter Expert (SME) to review AI-generated SEO/marketing outputs and/or create expert digital marketing content, evaluating reasoning quality, strategy fit, and step-by-step decision-making while providing precise written feedback. You will assess solutions for accuracy, clarity, brand fit, and adherence to the prompt; identify issues in search intent alignment, keyword strategy, on-page SEO, technical SEO logic, content structure, measurement/attribution, and compliance/claims risk; fact-check where needed; write high-quality explanations and model outputs that demonstrate best practices; and rate and compare multiple AI responses based on effectiveness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your SEO and digital marketing expertise directly helps improve the world’s premier AI models by making their growth strategy, search optimization, and marketing writing more accurate, reliable, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Marketing, Communications, Business, Journalism, or a related field (or equivalent professional experience). - 5+ years of professional experience in SEO and/or digital marketing (in-house, agency, or consultancy). - Strong command of SEO fundamentals: keyword research, intent mapping, information architecture, internal linking, content briefs, SERP analysis. - Working knowledge of technical SEO and site health: crawl/indexation, canonicalization, redirects, sitemaps, Core Web Vitals basics, schema. - Strong analytics and measurement instincts: GA4, Search Console, dashboards, experiment design, attribution caveats. - Ability to evaluate writing and strategy for clarity, structure, persuasion, and brand voice, including landing pages and SEO blog content. - Exceptional attention to detail when spotting weak logic, overclaims, hallucinated facts, or risky marketing claims; minimum C1 English proficiency. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Previous experience with AI data training/annotation, editorial QA, content ops, or performance marketing review is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard SEO/digital marketing outputs (content briefs, strategy notes, optimizations, analyses). - Optimize AI Performance: Evaluate and rank AI responses to improve intent match, correctness, clarity, and practical applicability. - Ensure Model Integrity: Test AI outputs for inaccuracies, brand-risk claims, policy/compliance pitfalls, and bias; validate reliability across use cases. Skills - SEO Strategy - On-Page SEO - Link Building - Conversion Rate Optimization - Content Optimization - CRO - Analytics (GA4) - Keyword Research - Technical SEO - English - Digital PR - Search Intent Additional skills - Search Engine Optimization (SEO) - Keyword Research - Search Intent Mapping - SERP Analysis - On-Page SEO - Technical SEO - Information Architecture - Internal Linking - Content Strategy - Content Briefing - SEO Content Writing - Landing Page Optimization - Crawlability & Indexation - Canonical Tags - 301 Redirects - XML Sitemaps - Schema Markup (Structured Data) - Core Web Vitals - Google Analytics 4 (GA4) - Google Search Console - SEO Audits - Rank Tracking Tools - Dashboard Reporting - A/B Testing - Experiment Design - Attribution Modeling - Conversion Rate Optimization (CRO) - Performance Marketing - Content Quality Assurance (QA) - AI Data Annotation

SME

C# Team Lead

SMESoftware, AI and Data

Up to $75/hr

United States

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In this hourly, remote contractor role, you will work as a C Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across C AI training projects. You will review AI-generated C code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards. You will assess work for code correctness, runtime behavior, .NET ecosystem awareness, type safety, async behavior, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction-following, and rubric adherence. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your C quality leadership will help ensure C training data is accurate, executable, idiomatic, secure, clearly explained, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional software engineering experience. - Strong grasp of English to follow guidelines and provide clear technical feedback. - 3+ years of professional experience in C/.NET development, backend engineering, enterprise software, cloud development, code review, QA, or technical mentoring. - Strong understanding of C syntax, OOP, LINQ, generics, collections, exceptions, async/await, tasks, dependency injection, nullable reference types, records, delegates/events, and .NET runtime behavior. - Ability to identify issues such as incorrect logic, non-executable code, flawed async usage, poor error handling, weak type safety, security risks, hallucinated APIs, or incomplete explanations. - Familiarity with .NET, ASP.NET Core, Entity Framework Core, xUnit/NUnit/MSTest, Visual Studio/Rider, NuGet, Azure/AWS, Docker, GitHub, CI/CD, and logging/observability tools is preferred. - Experience leading or supporting remote teams of trainers, reviewers, engineers, coding mentors, or QAs is strongly preferred. - Comfortable using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems. - Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation. - Experience with AI training, LLM evaluation, code QA, or rubric-based code review is a strong plus. Responsibilities - Quality monitoring: Spot-check C items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues. - Code review: Evaluate AI-generated C code, .NET snippets, API examples, debugging responses, tests, architecture explanations, and step-by-step reasoning. - Trainer/QA communication: Update contributors on Discord about guideline changes, workflow updates, and C-specific review standards. - Question handling: Respond to questions around .NET behavior, async/await, LINQ, dependency injection, EF Core, testing, security, and rubric interpretation. - Activation management: DM inactive contributors, track follow-ups, and flag availability issues. - Documentation: Create and maintain C style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials. - Onboarding: Run onboarding/training calls for C contributors. - Risk review: Flag insecure, misleading, non-executable, or non-production-ready C/.NET recommendations. - Process improvement: Identify recurring gaps and improve QA workflows. Skills - C QA - ASP.NET Core - .NET - LLM Evaluation - Code Review - Testing - C - AI Training - Trainer Feedback - Debugging Additional skills - C - Microsoft .NET - ASP.NET Core - Entity Framework Core - LINQ - Async/Await - Dependency Injection - Object-Oriented Programming (OOP) - REST APIs - Web API Development - SQL - Azure - AWS - Docker - Git - GitHub - CI/CD - Unit Testing - xUnit - NUnit - MSTest - Test Automation - Code Review - Technical Mentoring - Team Leadership - Agile Methodologies - Microservices - Logging & Monitoring - Visual Studio - JetBrains Rider

SME

Telugu Expert with Mathematical Background

SMELanguages / Education and Humanities / STEM

Up to $20/hr

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In this hourly, remote contractor role, you will work as a Telugu Language Specialist (SME) to review AI-generated Telugu content and/or create high-quality Telugu reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Telugu writing; and rate and compare multiple AI responses based on correctness and overall quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Telugu expertise directly helps improve the world’s premier AI models by making their Telugu language output more natural, reliable, culturally accurate, and clearly written. Requirements - Bachelor’s degree (or higher) in Mathematics - Native or near-native Telugu proficiency (reading and writing required). - Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English. - 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work. - Deep understanding of Telugu grammar, spelling conventions, punctuation, and style—able to explain why something is wrong and how to fix it. - Comfortable handling multiple registers (formal/informal), regional variation (e.g., Andhra Pradesh vs Telangana usage), and audience adaptation (India vs diaspora). - High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched phrasing. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred. Responsibilities - Develop AI Training Content: Create prompts and gold-standard Telugu answers across multiple domains (general knowledge, customer support, education, conversational writing). - Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness. - Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases. Skills - Style - Copyediting - Translation Quality Review - Localization - Fact-Checking - Tone & Register - Telugu - English - Proofreading - Cultural Context - Grammar Additional skills - Telugu Language Proficiency - Telugu Grammar - Telugu Writing - Telugu Editing - Proofreading - Copyediting - Content Writing - Creative Writing - Translation (Telugu-English) - Localization - Transcreation - Linguistics - Telugu Literature - English Proficiency (C1) - Bilingual Communication - Style Guide Adherence - Terminology Management - Glossary Development - Content QA - LQA (Localization Quality Assurance) - Translation QA - Editorial QA - AI Data Annotation - LLM Output Evaluation - Rubric-Based Evaluation - Fact-Checking - Cultural Localization - Regional Dialects (Andhra/Telangana) - Audience Adaptation - Attention to Detail

SME

Clinical Researcher

SMEHealthcare

Up to $70/hr

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SME

Indonesian Language Expert

SMELanguages / Business and Consulting / Education and Humanities

Up to $20/hr

Indonesia

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In this hourly, remote contractor role, you will work as an Indonesian Language Specialist (SME) to review AI-generated Indonesian (Bahasa Indonesia) content and/or create high-quality Indonesian reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, slang appropriateness, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Indonesian writing; and rate and compare multiple AI responses based on correctness and overall quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Indonesian expertise directly helps improve the world’s premier AI models by making their Indonesian language output more natural, reliable, culturally accurate, and clearly written. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Linguistics, Indonesian/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience). - Native or near-native Indonesian proficiency (reading and writing required). - Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English. - 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work. - Deep understanding of Indonesian grammar, spelling conventions (EYD/PUEBI), punctuation, and style—able to explain why something is wrong and how to fix it. - Comfortable handling multiple registers (formal/informal), Indonesian business writing norms, and slang usage only when appropriate to audience and platform. - High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched phrasing. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred. Responsibilities - Develop AI Training Content: Create prompts and gold-standard Indonesian answers across multiple domains (general knowledge, customer support, education, conversational writing). - Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness. - Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases. Skills - Style - Indonesian - Copyediting - Translation Quality Review - Localization - Fact-Checking - Tone & Register - English - Proofreading - Cultural Context - Grammar Additional skills - Bahasa Indonesia (Native) - English (C1) - Linguistics - Translation (EN-ID / ID-EN) - Localization - Transcreation - Copyediting - Proofreading - Indonesian Grammar - PUEBI / EYD - Spelling & Punctuation - Style Guide Adherence - Terminology Management - Glossary Development - Content Quality Assurance (QA) - Translation Quality Assessment (TQA) - Editorial QA - AI Data Annotation - LLM Output Evaluation - Rubric-Based Evaluation - Error Categorization - Fact-Checking - Cultural Localization - Indonesian Business Writing - Journalism Writing - Technical Writing - SEO Content Editing - CAT Tools - Trados Studio - MemoQ

SME

Chemical Engineer

SMEEngineering

Up to $60/hr

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If you are a chemical engineer who thrives on technical precision, applied problem-solving, and real-world process reasoning, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex chemical engineering concepts. We are looking for chemical engineering specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise as a Chemical Engineer will directly help improve the world’s premier AI models, and will play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Requirements - 4+ years of professional chemical engineering experience, with meaningful hands-on work in process design, plant/operations engineering, process safety, scale-up, manufacturing, utilities, EHS, quality, R&D, controls/automation interfaces, or a closely related chemical engineering specialty. - Deep knowledge of chemical engineering fundamentals, including material & energy balances, thermodynamics, fluid mechanics, heat & mass transfer, reaction engineering, separations (distillation, absorption, extraction, membranes), unit operations, and process control concepts. - Strong comfort with engineering calculations, assumptions, constraints, and defensible reasoning (including uncertainty, safety factors, and limitations). - Bachelor’s degree in Chemical Engineering (or closely related) required; Master’s/PhD, PE/Chartered credentials, or advanced professional certifications strongly preferred. - Previous experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus. - Familiarity with tools and artifacts such as PFDs/P&IDs, Aspen Plus/HYSYS, CHEMCAD, process datasheets, PSM documentation, HAZOP/LOPA, or SOPs is a plus. Responsibilities - Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across chemical engineering topics. - Challenge advanced language models with realistic chemical engineering scenarios, calculations, and process-informed reasoning tasks. - Review and refine AI-generated prompts, model responses, explanations, and step-by-step engineering solutions. - Provide structured feedback that identifies factual errors, flawed assumptions, missing constraints, unsafe recommendations, unit/consistency mistakes, or incomplete reasoning. - Assess model performance on topics such as: Material & energy balances, phase behavior, and thermodynamic property use, Unit operations and sizing logic, Distillation/separations design logic and feasibility checks, Process control reasoning, Process safety, Scale-up/manufacturability, operability, and troubleshooting of plant scenarios - Help shape AI communication standards for technical chemical engineering content, including how models explain assumptions, limitations, calculations, and professional judgment. - Ensure AI-generated content reflects sound engineering principles, appropriate safety considerations, and responsible technical communication (including “when to escalate to a licensed engineer/site expert”). Additional skills - Process Design - Plant Engineering - Process Safety Management (PSM) - Scale-Up Engineering - Manufacturing Engineering - Utilities Engineering - Environmental Health & Safety (EHS) - Quality Assurance (QA) - Research & Development (R&D) - Process Control - Controls & Automation - Material & Energy Balances - Thermodynamics - Fluid Mechanics - Heat Transfer - Mass Transfer - Reaction Engineering - Separation Processes - Distillation - Absorption - Extraction - Membrane Separations - Unit Operations - Aspen Plus - Aspen HYSYS - CHEMCAD - PFDs (Process Flow Diagrams) - P&IDs (Piping & Instrumentation Diagrams) - HAZOP - LOPA

SME

Financial Analyst

SMEFinance / Business and Consulting / Software, AI and Data

Up to $85/hr

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In this hourly, remote contractor role, you will work as a Financial Analysis Subject Matter Expert (SME) to review AI-generated financial analysis and business-finance responses and/or create expert finance content, evaluating reasoning quality and step-by-step analytical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in financial modeling logic, assumptions, unit economics, valuation reasoning, forecasting, and metric interpretation; fact-check finance concepts and calculations; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Finance, Accounting, Economics, Business, Mathematics/Statistics, or a related field; CFA/MBA is a strong plus. - 5+ years of professional experience in financial analysis (FP&A, corporate finance, investment banking, equity research, consulting, or similar). - Strong command of core finance concepts: 3-statement logic, cash flow drivers, working capital, margin analysis, capital allocation, and basic corporate accounting linkage. - Proven experience building and reviewing financial models (forecasting, scenario/sensitivity analysis, cohort/unit economics, pricing/packaging analyses). - Comfortable with valuation reasoning (DCF mechanics, comps selection, multiple drivers) and clearly stating assumptions and limitations. - Strong quantitative rigor and attention to detail (units, sign conventions, time horizons, circularity, error-checks). - Ability to communicate complex analyses clearly in writing (executive summary, key drivers, risks, recommendations); minimum C1 English proficiency. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, finance QA, investment memo review, or analytics editorial work is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard finance outputs (models, assumptions tables, narratives, sensitivity analyses, investment-style summaries). - Optimize AI Performance: Evaluate and rank AI responses to improve numeric correctness, rigor, clarity, and practical usefulness. - Ensure Model Integrity: Test AI outputs for calculation errors, misleading interpretations, unsafe assumptions, and bias; validate reliability across business scenarios. Skills - KPI Dashboards - Microsoft Excel - Forecasting - Data Interpretation - Financial Analysis - Financial Modeling - Valuation - Budgeting - Google Sheets - DCF/Comps - Variance Analysis - DCF - Unit economics - Comps - English - Excel/Sheets Additional skills - Financial Modeling - FP&A - Corporate Finance - Budgeting & Forecasting - Variance Analysis - 3-Statement Modeling - Cash Flow Analysis - Working Capital Analysis - Margin Analysis - Unit Economics - Cohort Analysis - Scenario Analysis - Sensitivity Analysis - Valuation - Discounted Cash Flow (DCF) - Comparable Company Analysis (Comps) - Capital Allocation - Pricing Analysis - Corporate Accounting - Financial Statement Analysis - Excel - Google Sheets - PowerPoint - SQL - Power BI - Tableau - Data Analysis - Investment Memo Writing - Financial Due Diligence - CFA

SME

Public Health Expert

SMEHealthcare

Up to $55/hr

Brazil

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In this hourly, remote contractor role, you will work as a Public Health Subject Matter Expert (SME) to review AI-generated public health and population-health responses and/or create expert public health content, evaluating reasoning quality and step-by-step analytical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in epidemiologic reasoning, study interpretation, surveillance logic, risk communication, and health-systems concepts; fact-check public health claims; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your public health expertise directly helps improve the world’s premier AI models by making their population-health reasoning, evidence interpretation, and public-facing guidance more accurate, reliable, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Public Health (MPH preferred), Epidemiology, Biostatistics, Health Policy, Global Health, or a related field (or equivalent professional experience). - 5+ years of professional experience in public health (government/public sector, NGOs, academia, healthcare systems, global health, consulting, or similar). - Confident in public health reasoning (problem framing, causal thinking, bias/confounding awareness, risk stratification, and prioritization). - Strong understanding of disease processes at the population level, prevention strategies, screening concepts, vaccination principles, and health behavior frameworks. - Excellent attention to detail when fact-checking and identifying unsafe assumptions, misleading causal claims, incorrect interpretation of statistics, or inappropriate recommendations; minimum C1 English proficiency. - Comfortable evaluating answers for internal consistency (denominators, rates vs risks, time horizons, surveillance definitions, and uncertainty). - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, guideline work, systematic reviews, program evaluation, policy analysis, or editorial QA is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard answers across epidemiology, public health practice, policy, prevention, and risk communication topics. - Optimize AI Performance: Evaluate and rank AI responses to improve correctness, clarity, contextual relevance, and scientific rigor. - Ensure Model Integrity: Test AI outputs for inaccuracies, misleading evidence interpretation, unsafe recommendations, and bias; validate reliability across populations and settings. Skills - Outbreak Investigation - Disease Surveillance - Biostatistics - Health Policy - Risk Communication - Systems - Program Evaluation - Evidence-Based Public Health - Epidemiology - English - Health Equity Additional skills - Public Health - Epidemiology - Biostatistics - Health Policy - Global Health - Population Health - Disease Surveillance - Outbreak Investigation - Program Evaluation - Monitoring & Evaluation (M&E) - Systematic Reviews - Evidence Synthesis - Clinical Guidelines - Health Economics - Health Behavior Change - Health Promotion - Vaccination Programs - Screening Programs - Risk Stratification - Causal Inference - Confounding & Bias Assessment - Statistical Analysis - Data Interpretation - Research Methods - Scientific Writing - Editorial QA - Fact-Checking - Quality Assurance - AI Data Annotation - Literature Review

SME

Python Team Lead

SMESoftware, AI and Data / Business and Consulting

Up to $70/hr

United States

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In this hourly, remote contractor role, you will work as a Python (Generalist) Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Python AI training projects. You will review AI-generated Python code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards. You will assess work for code correctness, runtime behavior, debugging accuracy, readability, maintainability, performance, security awareness, test coverage, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Python quality leadership will directly help improve the world’s premier AI models by ensuring that Python training data is accurate, executable, idiomatic, clearly explained, well-documented, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Information Technology, or equivalent professional software engineering experience. - Strong grasp of the English language to follow guidelines, communicate with teams, and provide clear technical feedback. - 3+ years of professional experience in Python development, backend engineering, automation, scripting, data workflows, code review, QA, teaching, or technical mentoring. - Strong understanding of Python fundamentals such as data structures, functions, classes, modules, exceptions, comprehensions, iterators, generators, decorators, context managers, virtual environments, packaging, and testing. - Ability to evaluate Python content against rubrics and identify issues such as incorrect logic, non-executable code, poor exception handling, inefficient algorithms, unsafe file/network operations, hallucinated APIs, or incomplete explanations. - Familiarity with pytest, unittest, typing, mypy, pip, poetry, virtualenv, FastAPI, Flask, Django, requests, asyncio, pandas, SQLAlchemy, GitHub, Docker, and CI/CD is preferred. - Experience leading or supporting remote teams of trainers, engineers, reviewers, annotators, educators, or QAs is strongly preferred. - Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems. - Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation. - Experience with AI training, data annotation, LLM evaluation, code QA, or rubric-based code review is a strong plus. Responsibilities - Spot-check Python items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues. - Review AI-generated Python code, debugging responses, algorithms, backend snippets, automation scripts, tests, and explanations. - Update trainers/QAs on Discord about guidelines, workflow updates, and Python-specific quality expectations. - Respond to questions around Python syntax, runtime behavior, exceptions, package usage, testing, typing, security, performance, and rubric interpretation. - DM inactive contributors, encourage activation, track follow-ups, and flag availability issues. - Create and maintain Python documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials. - Run onboarding/training calls for Python contributors. - Flag misleading, non-executable, insecure, inefficient, or non-production-ready Python recommendations. - Identify recurring quality gaps and improve Python QA workflows. Skills - Python - LLM Evaluation - Code Review - Testing - Python QA - Backend Development - AI Training - Trainer Feedback - Debugging - Automation Additional skills - Python - Backend Development - FastAPI - Django - Flask - REST APIs - Asyncio - Pandas - SQL - SQLAlchemy - Pytest - unittest - Test Automation - Type Hints (typing) - mypy - Packaging (pip/poetry) - virtualenv - Git - GitHub - Docker - CI/CD - Code Review - Software Quality Assurance (QA) - Technical Mentoring - Team Leadership - Remote Team Management - Documentation - Agile Methodologies - LLM Evaluation - Data Annotation - Automation/Scripting

SME

PR & Communications Expert

SMEBusiness and Consulting

Up to $70/hr

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In this hourly, remote contractor role, you will work as a PR & Communications Subject Matter Expert (SME) to review AI-generated PR/communications outputs and/or create expert communications content, evaluating reasoning quality, messaging discipline, and step-by-step decision-making while providing precise written feedback. You will assess solutions for clarity, accuracy, tone, stakeholder fit, and adherence to the prompt; identify issues in narrative coherence, positioning, media readiness, reputational risk, claims/compliance, and crisis-response logic; fact-check statements where needed; write high-quality explanations and model deliverables (e.g., press releases, statements, FAQs, pitches, comms plans) that demonstrate best practices; and rate and compare multiple responses based on effectiveness, correctness, and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your PR and communications expertise directly helps improve the world’s premier AI models by making their public-facing writing more accurate, on-message, risk-aware, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - Bachelor’s degree (or higher) in Communications, Journalism, Public Relations, Marketing, or a related field (or equivalent professional experience). - 5+ years of professional experience in PR and/or communications (agency or in-house), including writing and media-facing deliverables. - Strong command of message development: narratives, proof points, objection handling, Q&A/FAQ frameworks, and tone control. - Experience producing core comms assets: press releases, media pitches, bylines, statements, talking points, internal comms, and executive notes. - Ability to evaluate outputs for accuracy, defensibility, and risk (overclaims, legal/compliance sensitivity, forward-looking statements, confidentiality). - Familiarity with crisis comms principles: rapid response, stakeholder mapping, escalation paths, holding statements, and post-incident learnings. - Strong editing and QA skills; ability to provide specific, actionable feedback and write gold-standard rewrites with rationale; minimum C1 English proficiency. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, editorial QA, newsroom/press office workflows, or comms review is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard PR/comms outputs (press releases, statements, pitches, FAQs, comms plans) to guide AI learning. - Optimize AI Performance: Evaluate and rank AI responses to improve message discipline, clarity, credibility, and stakeholder fit. - Ensure Model Integrity: Test AI outputs for inaccuracies, reputational risk, bias, and unsafe claims; validate reliability across scenarios (product launch, incident response, policy change). Skills - Messaging - Positioning - Public Relations - Reputation Management - Press Releases - Crisis Communications - Stakeholder Communications - Media Relations - Corporate Communications - English - Executive Comms Additional skills - Public Relations - Corporate Communications - Media Relations - Strategic Communications - Crisis Communications - Message Development - Brand Messaging - Executive Communications - Internal Communications - Press Release Writing - Media Pitching - Speechwriting - Content Strategy - Copywriting - Editing & Proofreading - Stakeholder Management - Reputation Management - Issues Management - Thought Leadership - Media Training - Talking Points Development - Q&A / FAQ Development - Narrative Building - Risk Assessment - Compliance Review - Fact-Checking - Social Media Communications - Press Office / Newsroom Operations - Project Management - AI Data Annotation

SME

STEM & Technical Specialist – Rubric Design

SMESTEM

Up to $100/hr

United States

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In this hourly, remote contractor role, you will work as a STEM & Technical Subject Matter Expert (SME) to create challenging expert-level questions, evaluate AI-generated technical content, and design detailed rubrics that define what a correct, rigorous, and expert-quality answer should contain. You will develop problems within your area of expertise that test advanced reasoning rather than simple factual recall. You will identify weaknesses in frontier AI models, including incorrect assumptions, incomplete reasoning, mathematical or scientific errors, missed edge cases, and answers that appear plausible but fail under expert scrutiny. A major focus of this role is rubric design and writing. You will translate complex technical judgment into clear, specific, and measurable evaluation criteria, including required concepts, reasoning steps, acceptable alternative approaches, critical errors, and partial-credit considerations. You may also critique and improve rubrics developed by other experts. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your technical expertise directly helps improve the world’s premier AI models by making their reasoning more accurate, rigorous, and reliable. Requirements - Bachelor’s degree or higher in Mathematics, Physics, Chemistry, Engineering, Computer Science, Statistics, Applied Science, or another technical discipline. - Strong professional proficiency in English, minimum C1, with the ability to write precise technical explanations and evaluation criteria. - 3+ years of professional, academic, research, or industry experience in your stated technical domain. - Demonstrated advanced expertise in a clearly defined technical field or specialization. - Ability to create challenging technical questions that require multi-step reasoning, domain expertise, or professional judgment. - Strong ability to design detailed evaluation rubrics defining required reasoning, correct methodology, acceptable alternatives, partial-credit criteria, and critical errors. - Ability to distinguish between a correct final answer and an answer supported by valid versus flawed reasoning. - Comfortable reviewing and critiquing other experts’ rubrics for ambiguity, missing criteria, redundancy, technical inaccuracies, or poor scoring design. - High attention to detail when evaluating formulas, assumptions, units, methodology, edge cases, logical consistency, and technical terminology. - Experience with exam writing, academic grading, peer review, research review, technical QA, standards development, or assessment design is strongly preferred. - Prior experience with AI evaluation, RLHF, SFT, benchmarking, data annotation, prompt design, or LLM evaluation is preferred. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow. Responsibilities - Create expert-level technical questions: Develop difficult questions that test genuine technical reasoning and expose weaknesses in advanced AI systems. - Design evaluation rubrics: Write structured criteria defining what a correct, rigorous, and complete response must contain. - Define partial-credit standards: Identify essential reasoning steps, acceptable alternatives, minor errors, and critical failures. - Evaluate AI-generated solutions: Assess outputs for correctness, reasoning quality, completeness, methodology, and technical precision. - Identify hidden reasoning errors: Detect cases where an answer reaches the correct conclusion using invalid assumptions or flawed logic. - Critique peer rubrics: Review other experts’ criteria for technical accuracy, clarity, completeness, and scoring consistency. - Develop reference content: Produce expert answers, explanations, critiques, and other gold-standard content. - Support AI training: Create questions, rubrics, evaluations, preference judgments, and reference-answer pairs suitable for RL and SFT workflows. - Maintain technical rigor: Ensure content reflects appropriate professional or academic standards within the relevant discipline. Skills - Question Writing - Model Evaluation - Technical Reasoning - Rubric Design - Physics - Expert Review - Computer Science - Benchmarking - Engineering - Chemistry - Mathematics - STEM - English - Rubric Writing - AI Evaluation Additional skills - Rubric Design - Assessment Design - Technical Writing - Academic Grading - Exam Item Writing - Peer Review - Research Review - Quality Assurance (QA) - Standards Development - Scoring Methodology - Partial Credit Scoring - Error Analysis - Critical Thinking - Multi-step Reasoning - Statistical Analysis - Applied Mathematics - Physics - Chemistry - Engineering - Computer Science - Data Annotation - Benchmarking - LLM Evaluation - Prompt Engineering - RLHF - Supervised Fine-Tuning (SFT) - AI Evaluation - Technical Editing - Attention to Detail - English (C1/C2)

SME

Pharmacist

SMEHealthcare

Up to $65/hr

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In this hourly, remote contractor role, you will work as a Pharmacist Subject Matter Expert (SME) to review AI-generated medication- and pharmacy-related responses and/or generate expert pharmacy content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in pharmacotherapy reasoning, dosing logic, contraindications, interactions, monitoring, and patient counseling; fact-check medical and drug information; write high-quality explanations and model solutions that demonstrate correct clinical reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your pharmacy expertise directly helps improve the world’s premier AI models by making their medication guidance, clinical safety reasoning, and patient-facing explanations more accurate, reliable, and clearly explained. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements - PharmD or Bachelor’s/Master’s degree in Pharmacy (BPharm/MPharm) and active pharmacist licensure (or eligibility), with strong grounding in pharmacology, therapeutics, and medication safety. - 5+ years of professional experience in pharmacy practice (community, hospital, ambulatory care, clinical pharmacy, managed care, or similar). - Confident in pharmacotherapy reasoning (indication-based selection, dosing, titration, monitoring, deprescribing) and explaining why a recommendation follows from the evidence. - Strong understanding of disease states, guideline-based therapy, medication reconciliation, and patient care workflows across settings (ED/inpatient/outpatient). - Exceptional attention to detail when fact-checking drug content and identifying unsafe assumptions, missing contraindications, interaction risks, allergy considerations, or misinterpretation of labs; minimum C1 English proficiency. - Comfortable evaluating answers for internal consistency (timelines, physiology, dosing units, formulation selection), appropriateness for setting, and patient safety implications. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Previous experience with AI data training/annotation, medication-use evaluation, drug information, clinical documentation review, PBM/managed care review, or healthcare editorial QA is strongly preferred. Responsibilities - Develop AI Training Content: Create detailed prompts and gold-standard pharmacy responses across therapeutics, drug information, counseling, and medication safety topics. - Optimize AI Performance: Evaluate and rank AI responses to improve safety, clinical correctness, clarity, and contextual relevance. - Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe recommendations, and bias; validate reliability across use cases and patient populations. Skills - Drug-Drug Interactions - Adverse Effects - Medication Safety - Evidence-Based Medicine - Dosing - Monitoring - Contraindications - Pharmacotherapy - Patient Counseling - Clinical Reasoning - Renal Adjustments - English - Hepatic Adjustments Additional skills - PharmD - Pharmacist Licensure - Pharmacotherapy - Clinical Pharmacy - Pharmacology - Therapeutics - Medication Safety - Drug Information - Medication Reconciliation - Patient Counseling - Evidence-Based Medicine - Clinical Guidelines - Drug-Drug Interactions - Contraindications Screening - Allergy Assessment - Renal Dose Adjustment - Hepatic Dose Adjustment - Therapeutic Drug Monitoring - Deprescribing - Dosing & Titration - Adverse Drug Reaction Management - Medication Therapy Management (MTM) - Formulary Management - Managed Care Pharmacy - PBM Review - Medication-Use Evaluation (MUE) - Clinical Documentation Review - Healthcare Editorial QA - AI Data Annotation - Clinical Decision Support (CDS)

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