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Alignerr

Mathematics Specialist (Masters/PhDs)

AlignerrSTEM

$75-$90/hr

Worldwide

About this role · Stem

About the Role What if your deep expertise in mathematics could directly shape how AI reasons through the world's hardest problems? We're looking for Mathematics Experts — Masters and PhD holders — to challenge, evaluate, and elevate the mathematical reasoning of cutting-edge AI systems. This is a fully remote, flexible contract role built for serious mathematicians. If you've spent years working through proofs, modeling complex systems, or pushing the boundaries of quantitative reasoning, this is your opportunity to put that expertise to work in one of the most consequential fields of our time. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced mathematical problems with real-world relevance - Apply deep expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design rigorous, complex problem sets - Evaluate AI-generated mathematical reasoning for correctness, depth, and logical soundness - Collaborate asynchronously with AI researchers and domain experts to identify weaknesses and improve model performance - Ensure mathematical rigor, clarity, and precision across all deliverables - Work independently on task-based assignments — fully on your own schedule Who You Are - Holds a Master's or PhD in Mathematics or a closely related field - Deeply fluent in at least one core area: algebra, calculus, statistics, or discrete mathematics - Experienced using Python, MATLAB, or Mathematica for research, modeling, or problem-solving - Exceptionally precise — you notice errors others miss and communicate complex ideas with clarity - Self-directed and dependable when working without supervision - Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have - Prior experience in data annotation, evaluation systems, or AI training workflows - Background in applied mathematics, mathematical modeling, or computational research - Experience designing or grading advanced mathematical assessments - Familiarity with AI tools or quantitative research platforms Why Join Us - Work on cutting-edge AI projects alongside the world's leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Make a direct, measurable impact on how AI understands and applies advanced mathematics - Potential for ongoing work and contract extension as new projects launch

Alignerr

Clinical Business Intelligence Manager

AlignerrHealthcare / Business & Consulting / Data & Analytics

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your deep expertise in clinical analytics could help shape the AI systems influencing the future of healthcare? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams, translate complex healthcare data into actionable insights, and directly contribute to cutting-edge AI projects at the intersection of technology and medicine. This is a fully remote, flexible contract role designed for seasoned healthcare data professionals who thrive on turning messy, complex datasets into decisions that matter. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Lead and mentor a business intelligence team in designing and delivering dashboards, reports, and analytics that support clinical and operational decision-making - Maintain and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance - Analyze clinical, operational, and performance data to surface meaningful trends and support leadership decisions - Connect clinical and administrative datasets to real-world healthcare outcomes, translating technical findings into clear, trusted insights - Ensure data quality and governance standards are upheld across all BI deliverables in regulated healthcare environments - Collaborate with cross-functional stakeholders to align analytics outputs with organizational priorities and care delivery goals Who You Are - Experienced in healthcare or clinical analytics, business intelligence, or health data management - Proven ability to design, manage, and scale BI systems — including dashboards, reporting pipelines, and data models - Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings - A confident team leader who can guide analysts and BI developers toward high-quality, impactful outputs - Detail-oriented, methodical, and capable of maintaining rigor across complex, multi-source data environments - Self-directed and reliable — you can own deliverables and drive outcomes without close supervision Nice to Have - Prior experience with data annotation, data quality assessment, or evaluation systems - Familiarity with AI model training workflows or human-in-the-loop data pipelines - Background working with large language models or AI research teams in a healthcare context - Experience with tools such as Tableau, Power BI, Looker, dbt, or similar BI platforms Why Join Us - Work on cutting-edge AI projects alongside the world's leading research labs - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with the depth and meaning of high-stakes, technically challenging work - Gain hands-on exposure to advanced LLMs and the data infrastructure behind how they're trained - Contribute to AI development that has real potential to improve healthcare outcomes at scale - Potential for ongoing work and contract extension as new projects launch

Alignerr

Electrical Engineering

AlignerrSTEM

$35-$60/hr

Worldwide

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About this role · Coding

About the Role We're looking for electrical engineering professionals to help train and improve cutting-edge AI models. Your domain expertise will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to power systems to signal processing. This is a flexible, fully remote contract role where your technical knowledge makes a real impact on the next generation of AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create advanced electrical engineering problems across domains like circuit analysis, power systems, electromagnetics, signal processing, and control systems to stress-test AI capabilities - Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation - Audit AI Outputs — Evaluate AI-generated responses including code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC) - Refine AI Reasoning — Identify logical errors and gaps in AI-generated engineering reasoning, and provide structured feedback to improve model performance - Work Independently — Manage your own workload asynchronously on a schedule that works for you Who You Are - Holds or is pursuing a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or similar - Able to communicate complex technical concepts clearly and precisely in writing - Detail-oriented with a high degree of precision when reviewing equations, circuit logic, and technical documentation - Self-motivated and comfortable working independently in a remote environment - No prior AI experience required Nice to Have - Experience with data annotation, data quality assurance, or AI evaluation workflows - Familiarity with simulation tools (e.g., MATLAB, SPICE, Simulink) - Background in standards compliance or technical documentation Why Join Us - Work on meaningful projects at the frontier of AI research with leading labs - Fully remote and flexible — work on your schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Gain firsthand exposure to how advanced large language models are built and trained - Potential for ongoing work and contract extension

Alignerr

General Postdoctoral Researcher (Masters/PhDs)

AlignerrStem

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your years of rigorous research and hard-won expertise could directly shape how the world's most advanced AI systems reason, think, and solve problems? We're looking for Masters and PhD-level researchers to work alongside leading AI labs — designing and solving the kinds of complex, multi-disciplinary problems that push AI to its intellectual limits. This is a fully remote, flexible contract role built for researchers who want meaningful, high-impact work on their own schedule. No prior AI industry experience needed — your academic depth and research instincts are exactly what we're looking for. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, solve, and critically review advanced problems across STEM and other highly technical academic domains - Apply your research expertise to create complex, real-world problem statements that challenge and sharpen AI reasoning capabilities - Collaborate asynchronously with AI researchers and domain experts to improve model performance across disciplines - Uphold academic rigor, clarity, and analytical depth in every deliverable - Contribute to cutting-edge AI training projects that have a direct impact on how next-generation models think and perform Who You Are - Hold a Master's or PhD in a STEM or highly technical field from a top university - Have a strong track record in research, publications, or complex technical project work - Exceptional written and verbal communicator with a sharp eye for precision and detail - Self-motivated and comfortable working independently in an asynchronous environment - Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have - Prior experience with data annotation, data quality assurance, or model evaluation - Proficiency in Python, R, or other research-oriented programming languages - Background spanning multiple disciplines or applied research domains - Familiarity with AI tools, benchmarks, or evaluation frameworks Why Join Us - Work directly with world-leading AI research labs on genuinely frontier problems - Fully remote and asynchronous — work when and where it suits you - Flexible hours with 10–40 hours per week depending on your availability - Put your research expertise to use in a field that's shaping the trajectory of technology - Freelance autonomy with the substance of real, intellectually demanding work - Potential for ongoing work and contract extension as new projects launch

Ethos

Account Executive

EthosSales, Marketing & Customer Experience

$100/hr

Worldwide

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Alignerr

Network & Infrastructure Security Analyst

AlignerrSoftware & Coding

$35-$60/hr

Not specified

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About this role · Stem

About the Role Alignerr partners with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced infrastructure and network security practitioners to help us make AI smarter about cybersecurity. Your real-world expertise in network defense, endpoint security, and incident analysis will directly shape how AI systems understand, reason about, and respond to modern security threats. This is a rare opportunity to sit at the intersection of hands-on security work and frontier AI development. - Organization: Alignerr - Type: Hourly Contract - Commitment: 10–40 hours/week - Location: Remote — work from anywhere, on your own schedule What You'll Do - Analyze real-world network, endpoint, and email security scenarios across modern enterprise environments - Review firewall, EDR, and infrastructure security cases to determine root causes and failure modes - Classify incidents, misconfigurations, and control failures based on realistic operational data - Create, label, and validate security training and evaluation datasets used to improve AI systems - Provide clear, structured explanations of security issues, attack chains, and business impact Who You Are - 2+ years of hands-on experience in network, infrastructure, or endpoint security roles - Solid familiarity with firewalls, EDR platforms, email security, IAM, SIEMs, and enterprise security tooling - Deep understanding of how real organizations deploy and operate security controls at scale - Able to clearly communicate technical findings — root causes, impact, and remediation — in plain language - Self-directed and comfortable working asynchronously on task-based assignments Nice to Have - Experience with threat hunting, incident response, or red/blue team operations - Familiarity with frameworks like MITRE ATT&CK, NIST, or CIS Controls - Background in cloud infrastructure security (AWS, Azure, GCP) - Prior experience with AI evaluation or data labeling workflows Why Join Us - Work directly on frontier AI systems alongside top research labs - Fully remote and flexible — set your own hours and work at your own pace - Freelance autonomy with meaningful, intellectually engaging work - Contribute to AI that will define how security challenges are understood and solved - Potential for ongoing work and contract extension

Alignerr

Principal Python Engineer — ML Infrastructure

AlignerrSoftware & Coding

$50-$75/hr

Worldwide

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About this role · Coding

About the Role What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world? We're looking for a Principal Python Engineer based in Singapore to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — real production work with real impact at scale. This is a fully remote, flexible contract role for a seasoned engineer who thrives in high-performance, distributed environments and wants to work on problems that matter. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance Python systems that power AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Improve reliability, performance, and safety across production Python codebases - Identify bottlenecks and edge cases in data and system behavior — then implement scalable, elegant fixes - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Drive architectural and system design decisions through synchronous technical reviews Who You Are - Fluent English speaker with strong written and verbal communication skills - Senior full-stack developer with a strong systems programming background - 5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering - Deep expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns - Intimately familiar with Python internals — GIL limitations, memory profiling, and performance optimization for compute-heavy workloads - Able to drive technical strategy and architectural decisions clearly and confidently - Available to commit 20–40 hours per week Nice to Have - Prior experience with data annotation, data quality, or model evaluation systems - Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure - Experience with distributed systems architecture or internal developer tooling Why Join Us - Work directly with leading AI research labs on production systems that shape next-generation models - Fully remote and flexible — structure your work around your life, not the other way around - Freelance autonomy with the substance of high-impact, technically demanding work - Collaborate with top engineers and researchers on problems at the frontier of AI infrastructure - Potential for ongoing engagement and expanded scope as projects grow

Alignerr

DevOps / IaC Engineer

AlignerrSoftware & Coding

$90-$120/hr

Worldwide

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About this role · Coding

About the Role What if your hard-won DevOps expertise could directly shape how AI understands and reasons about cloud infrastructure? We're looking for experienced DevOps and Infrastructure as Code engineers to design, evaluate, and refine complex infrastructure challenges — helping train and benchmark the AI systems that top labs and Fortune 500 teams rely on. This is a fully remote, flexible contract role. If you live and breathe Terraform, Kubernetes, and cloud architecture, this is a rare opportunity to put that knowledge to work in a genuinely high-impact way. - Organization: Labelbox - Type: Hourly Contract - Location: Remote - Commitment: Minimum 15 hrs/week, fully async --- What You'll Do - Design and build realistic, high-quality infrastructure and automation challenges that rigorously test AI model capabilities - Review and refine existing DevOps scenarios for technical accuracy, depth, and clarity - Write and evaluate Infrastructure as Code using Terraform, Pulumi, or CloudFormation - Architect cloud-based infrastructure scenarios across AWS, GCP, or Azure — covering networking, IAM, VPCs, and resource policies - Develop CI/CD pipeline challenges using tools like GitHub Actions, CircleCI, or equivalent - Create and assess containerized and orchestrated workloads with Docker and Kubernetes - Document your technical reasoning, design decisions, and evaluation rationale clearly and concisely --- Who You Are - 4+ years of hands-on experience in DevOps, SRE, or cloud infrastructure roles - Deep expertise in Infrastructure as Code — Terraform strongly preferred; Pulumi or AWS CloudFormation also valued - Proficient with at least one major cloud provider (AWS preferred; Azure or GCP accepted) - Strong command of containers (Docker) and orchestration (Kubernetes) - Solid understanding of networking fundamentals, IAM, VPCs, security groups, and resource policies - Experienced writing modular, DRY IaC with responsible state management practices - Comfortable with CI/CD pipelines and deployment automation - Strong written communication skills in English — you can explain complex systems clearly Nice to Have - Experience in Site Reliability Engineering or platform engineering - Familiarity with ML infrastructure, GPU workloads, or AI development pipelines - Background in cloud security, compliance, or zero-trust architecture - Prior experience in technical writing, documentation, or challenge/exam design - Bachelor's or advanced degree in Computer Science, Engineering, or a related field --- Why Join Us - Work on cutting-edge AI projects alongside leading research labs and top-tier AI teams - Fully remote and async — work when and where it suits you, on your own schedule - Direct impact — the challenges you craft directly improve how frontier AI models reason about real infrastructure - Clear ownership — you know exactly what success looks like and have the autonomy to deliver it - Growth potential — high performers take on expanded scope and help mentor incoming subject matter experts - Flexible workload — engage as much or as little as your schedule allows, with rolling project availability

DataAnnotation

Nurse

DataAnnotationHealthcare

Up to $40–$125+ / hour

Worldwide

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Alignerr

Researcher - Lean 4 & Formal Proof Systems

AlignerrSTEM / Software & Coding

$170-$200/hr

Worldwide

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About this role · Stem

About the Role What if your mathematical expertise could directly shape the future of AI reasoning? We're looking for mathematicians and formal verification specialists to translate sophisticated human-written proofs into machine-verifiable Lean 4 formalizations — working at the very edge of what proof assistants can currently express and automate. This is a fully remote, flexible contract role designed for researchers who love rigor, thrive on precision, and want their work to matter at the frontier of AI and mechanized mathematics. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into Lean 4 (and related systems) with a focus on clarity, structure, and correctness - Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures - Construct formalizations that test and push the limits of existing proof assistants, especially where automation fails - Investigate why automated provers break down — complexity, missing lemmas, insufficient libraries — and document your findings - Develop clean, reproducible proof scripts aligned with mathematical best practices and Lean idioms - Advise on proof decomposition, lemma selection, and structuring strategies for formal models - Collaborate with researchers to design and evaluate approaches for improving formal verification pipelines - Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics Who You Are - Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Have a strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics - Have hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable formal systems — Lean 4 strongly preferred - Deeply passionate about formal verification, proof assistants, and the future of mechanized mathematics - Able to translate dense, informal mathematical arguments into clean, structured, machine-verifiable proofs - Comfortable working independently and asynchronously in a remote environment Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools - Experience contributing to large-scale formalization projects such as Mathlib - Exposure to theorem provers in settings where automated reasoning frequently fails or requires manual scaffolding - Prior experience with data annotation, evaluation systems, or AI training workflows - Strong communication skills for articulating formalization decisions, edge cases, and proof strategies Why This Role Stands Out - Work on problems that sit at the genuine frontier of formal verification and AI research - Collaborate with teams at leading AI research labs on cutting-edge projects - Gain direct exposure to how advanced AI models are trained and evaluated - Fully remote and asynchronous — work on your own schedule, from anywhere - Freelance autonomy with meaningful, intellectually rich work - Potential for ongoing contract extension as new projects launch

Alignerr

AI / Emerging Tech Security Analyst

AlignerrSoftware & Coding

$40-$60/hr

Worldwide

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About this role · Coding

About the Role What if your security expertise could directly shape how the world's most advanced AI systems defend against attacks, misuse, and adversarial manipulation? We're looking for AI Security Analysts to put frontier AI models under the microscope — probing their limits, identifying vulnerabilities, and helping ensure they remain safe, reliable, and resistant to exploitation. This is a fully remote, flexible contract role built for security professionals who are curious about how AI systems are built, deployed, and attacked. If you think in threat models and instinctively look for what can go wrong, this work was made for you. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze real-world AI and LLM security scenarios to understand how models behave under adversarial or unexpected conditions - Review and evaluate cases involving prompt injection, data leakage, model abuse, and system misuse - Classify security issues by real-world impact and likelihood, and assess appropriate mitigations - Help evaluate and improve AI system behavior so it stays safe, aligned, and resistant to exploitation - Work independently and asynchronously on task-based assignments — fully on your own schedule Who You Are - Background in security — whether offensive, defensive, application, or infrastructure - Strong understanding of threat modeling concepts applied to modern software systems - Genuinely curious about how AI systems are built, deployed, and potentially broken - Sharp, analytical, and precise when evaluating complex systems and potential risks - Comfortable forming and communicating structured, well-reasoned security assessments Nice to Have - Hands-on experience with LLMs, AI APIs, or AI-powered applications - Familiarity with prompt injection, jailbreaking, or adversarial ML concepts - Background in penetration testing, red teaming, or vulnerability research - Experience with security frameworks such as MITRE ATT&CK, OWASP, or similar - Prior exposure to AI safety, model alignment, or responsible AI practices Why Join Us - Work directly on frontier AI systems alongside leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Contribute to a field that genuinely matters — AI security is one of the most consequential challenges in tech today - Potential for ongoing work and contract extension as new projects launch

Alignerr

Public Policy Economist (AI Training)

AlignerrEducation & Humanities / Finance & Accounting

$35-$70/hr

Worldwide

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About this role · Stem

About the Role We're looking for economists with public policy experience to help shape how AI understands and communicates economic reasoning. Your expertise will directly influence the quality of AI-generated policy analysis — making a real-world impact on one of the most consequential technology frontiers of our time. This is a fully remote, flexible contract role where you set your own schedule and contribute on your own terms. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-Based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated public policy and applied economics content for accuracy, rigor, and real-world relevance - Assess economic reasoning across areas such as regulation, welfare policy, fiscal policy, and public programs - Identify logical errors, unsupported conclusions, or misleading framings in AI outputs - Provide clear, structured written feedback to improve the quality of AI training data - Apply your applied economics background to validate policy scenarios and analytical conclusions - Work independently and asynchronously — no meetings required Who You Are - 3+ years of experience working or teaching in public policy, applied economics, or a closely related field - Strong grasp of policy analysis frameworks and economic tradeoffs - Able to critically evaluate written economic arguments, recommendations, and models - Skilled at providing detailed, constructive written feedback - Self-directed and reliable — comfortable managing your own workload and deadlines Nice to Have - Graduate degree in Economics, Public Policy, or a related discipline - Background in government agencies, think tanks, research institutions, or policy consulting - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and asynchronous — work whenever and wherever suits you - Freelance perks: autonomy, intellectual variety, and global collaboration - Contribute to meaningful work that improves how AI reasons about policy and society - Potential for ongoing work and contract extension

Alignerr

C++ Engineer - High Performance Computing (HPC)

AlignerrSoftware & Coding

$50-$75/hr

Worldwide

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About this role · Coding

About the Role What if your deep systems programming expertise could directly shape the infrastructure powering the next generation of AI? We're looking for senior C++ engineers to build, optimize, and scale the high-performance systems that leading AI labs depend on — from data pipelines and annotation tooling to evaluation infrastructure and backend services. This is a fully remote, flexible contract role working at the frontier of AI development. If you live and breathe modern C++ and thrive on performance-critical engineering challenges, this is where your skills make the biggest impact. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance C++ systems supporting AI data pipelines and evaluation workflows - Develop backend services and full-stack tooling for large-scale data annotation, validation, and quality control - Improve reliability, performance, and safety across existing C++ codebases - Identify and resolve bottlenecks and edge cases in data and system behavior with scalable, production-ready solutions - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Participate in synchronous design reviews and contribute to system architecture decisions Who You Are - 5+ years of professional experience writing production-grade C++ — you're fluent in modern standards (C++17 or C++20 preferred) - Deep understanding of computer architecture, SIMD intrinsics, and cache coherency — you know how to squeeze performance out of compute-heavy workloads - Expert in lock-free programming and maximizing parallelism using threading libraries - Strong full-stack developer with a solid systems programming background - Native or fluent English speaker with clear written and verbal communication skills - Available to commit 20–40 hours per week consistently Nice to Have - Prior experience with data annotation, data quality pipelines, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling - Background in high-performance computing, game engines, or financial systems Why Join Us - Work on cutting-edge AI projects alongside leading research labs at the frontier of the field - Fully remote and flexible — work from wherever you do your best thinking - Freelance autonomy with the structure of meaningful, high-impact engineering work - Tackle genuinely hard performance and systems challenges that push the limits of modern C++ - Potential for ongoing work and contract extension as new projects launch

Alignerr

AI Penetration Tester

AlignerrSoftware & Coding

$60-$120/hr

Worldwide

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About this role · Coding

About the Role What if your hacking skills could directly shape how safe and secure AI systems are for millions of users worldwide? We're looking for experienced penetration testers to probe, attack, and stress-test AI-powered applications and infrastructure — identifying vulnerabilities before bad actors do. This is a fully remote, flexible contract role where your offensive security expertise meets the cutting edge of artificial intelligence. You'll work on high-impact projects that directly improve the security posture of AI systems deployed at scale. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Conduct penetration tests against AI-powered applications, APIs, and infrastructure to uncover security vulnerabilities - Identify and exploit weaknesses in AI/ML pipelines, including prompt injection, model manipulation, data poisoning vectors, and authentication flaws - Perform web application, network, and API security assessments using industry-standard tools and methodologies - Simulate real-world attack scenarios — from reconnaissance through exploitation and post-exploitation - Document findings in clear, structured reports with severity ratings, evidence, and actionable remediation guidance - Evaluate AI-specific attack surfaces including adversarial inputs, jailbreaks, and data exfiltration risks - Stay current with emerging AI security threats and contribute insights to improve testing methodologies - Work independently on task-based engagements on your own schedule --- Who You Are - Experienced penetration tester with a strong understanding of offensive security principles and methodologies (OWASP, PTES, MITRE ATT&CK) - Proficient with industry-standard tools such as Burp Suite, Metasploit, Nmap, Kali Linux, or equivalent - Solid understanding of web application security, network security, and API security testing - Able to think like an attacker — creative, persistent, and methodical in finding what others miss - Strong written communication skills — you can translate complex technical findings into clear, actionable reports - Self-motivated and reliable when working independently without direct supervision - Comfortable working across diverse technology stacks and environments Nice to Have - Relevant certifications such as OSCP, OSCE, CEH, GPEN, GXPN, or eWPT - Experience with AI/ML security testing — adversarial machine learning, prompt injection, LLM red-teaming - Background in red teaming, bug bounty programs, or CTF competitions - Familiarity with cloud security (AWS, GCP, Azure) and container security - Programming or scripting skills in Python, Bash, PowerShell, or similar - Knowledge of secure development practices and DevSecOps workflows - Experience conducting security assessments in compliance-driven environments (SOC 2, ISO 27001, etc.) --- Why Join Us - Work on cutting-edge AI security projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with access to high-impact, intellectually challenging engagements - Be at the forefront of AI security — a rapidly growing field with massive demand - Sharpen your skills against novel AI-specific attack surfaces that few security professionals have encountered - Contribute directly to making AI systems safer and more trustworthy for users worldwide - Potential for ongoing work and contract extension as new projects launch

Alignerr

Population Health Informaticist

AlignerrHealthcare / Data & Analytics

$35-$75/hr

Worldwide

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About this role · Stem

About the Role At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping shape how next-generation systems understand, reason about, and act on population-level health data. Your real-world knowledge of health informatics, data pipelines, and population analytics will directly improve the quality and reliability of AI in one of the most impactful fields on the planet. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Evaluate and provide expert feedback on AI-generated population health analyses, dashboards, and data strategies - Identify errors, gaps, or misleading conclusions in AI outputs related to health trends, disparities, and outcome metrics - Review and assess the quality of AI-designed data pipelines, surveillance frameworks, and reporting structures - Translate complex analytical scenarios into clear, structured feedback that helps AI systems reason more accurately about public health - Work independently and asynchronously on flexible, task-based assignments Who You Are - Experienced working with healthcare, public health, or population-level datasets - Strong analytical thinker with the ability to spot flawed methodology or misleading data interpretations - Skilled in data visualization, dashboards, and health reporting frameworks - Able to communicate complex insights clearly and concisely in writing - Detail-oriented and self-motivated — comfortable working independently Nice to Have - Background in epidemiology, biostatistics, public health informatics, or health data science - Experience with data annotation, data quality assessment, or evaluation systems - Familiarity with AI workflows or model evaluation processes - Prior work with surveillance systems, EHR platforms, or population health management tools Why Join Us - Work on cutting-edge AI projects alongside top research labs and institutions - Fully remote and flexible — set your own schedule and workload - Freelance perks: autonomy, variety, and global collaboration - Apply your public health expertise to work that scales your impact far beyond a single organization - Potential for ongoing work and contract extension

Alignerr

Python Insfrastructure Engineer - Model Evaluation

AlignerrSoftware & Coding

$50-$75/hr

Worldwide

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About this role · Coding

About the Role What if your Python expertise could directly shape the systems that power next-generation AI models? We're looking for a senior Python engineer to design and build the data pipelines, evaluation harnesses, and annotation infrastructure that leading AI labs depend on to train and benchmark their models. This is a high-impact, fully remote contract role working on real production systems — not toy projects. You'll collaborate directly with data, research, and engineering teams at the frontier of AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 20–40 hours/week What You'll Do - Design, build, and optimize high-performance Python systems supporting AI data pipelines and model evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control - Build and maintain evaluation harnesses that integrate with inference frameworks and benchmark AI model performance - Improve reliability, performance, and safety across existing Python codebases - Instrument systems with observability tooling — metrics, logging, and monitoring to track system reliability and model performance - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Collaborate in synchronous design reviews to iterate on architecture and implementation decisions Who You Are - Native or fluent English speaker with strong written and verbal communication skills - Full-stack developer with a solid systems programming background in Python - 3–5+ years of professional experience writing production-grade Python - Experienced building evaluation harnesses for ML models and integrating with inference frameworks - Strong understanding of observability and metrics collection for monitoring system and model performance - Able to commit 20–40 hours per week with reliability and focus Nice to Have - Prior experience with data annotation platforms, data quality systems, or evaluation pipelines - Familiarity with AI/ML workflows, model training, or benchmarking infrastructure - Experience with distributed systems or developer tooling at scale - Background in MLOps, data engineering, or research engineering environments Why Join Us - Work on cutting-edge AI projects alongside leading research labs at the frontier of the field - Fully remote and async-friendly — work from wherever you do your best work - Freelance autonomy with the substance of meaningful, high-impact engineering work - Make a direct, tangible contribution to the systems that shape how AI models are built and evaluated - Potential for ongoing work and contract extension as new projects launch

Alignerr

Data Scientist (Masters)

AlignerrData & Analytics / STEM / Software & Coding

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve? We're looking for data scientists with advanced degrees to work alongside leading AI research labs — designing expert-level challenges, authoring rigorous solutions, and auditing AI-generated code to make models smarter, more accurate, and more reliable. This is a fully remote, flexible contract role. No prior AI industry experience required — just serious domain expertise and a sharp analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Challenges — Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more - Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI training - Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness - Refine AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets and provide structured feedback to sharpen model thinking - Document Failure Modes — Probe advanced language models on topics like neural network architectures and data engineering pipelines, capturing and reporting every reasoning gap Who You Are - Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focus - Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP - Able to communicate highly technical algorithmic and statistical concepts clearly and concisely in writing - Exceptionally detail-oriented when reviewing code syntax, mathematical notation, and the validity of statistical conclusions - Self-directed and comfortable working independently on an async schedule - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality assurance, or AI evaluation systems - Proficiency in production-level data science workflows — MLOps, CI/CD for models, or similar - Familiarity with model evaluation frameworks or benchmarking methodologies Why Join Us - Work directly on cutting-edge AI projects alongside world-leading research labs - Fully remote and async — work when and where it suits you - Freelance autonomy with meaningful, intellectually stimulating work - Direct, hands-on engagement with industry-leading large language models - Potential for ongoing contract renewals as new projects launch

DataAnnotation

Russian Specialist

DataAnnotationLanguages

Up to $25–$40 / hour

Worldwide

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Alignerr

Chemistry Specialist (Masters/PhDs)

AlignerrSTEM

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your deep knowledge of chemistry — built through years of rigorous study and research — could directly shape how AI reasons through the most complex scientific problems in the world? We're looking for Chemistry experts with advanced degrees to design, solve, and evaluate challenging chemistry problems that train cutting-edge AI models. Your expertise will help AI systems think more like a scientist — with precision, depth, and real-world relevance. This is a fully remote, flexible contract role. No AI background needed — just a command of chemistry and a passion for intellectual rigor. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and develop advanced chemistry problems with genuine scientific depth and real-world relevance - Apply your expertise in organic, inorganic, physical, or computational chemistry to construct complex, well-reasoned problem statements - Solve and review chemistry problems to ensure scientific accuracy, clarity, and rigor - Collaborate asynchronously with AI researchers and other domain experts to enhance AI model reasoning - Evaluate AI-generated scientific outputs and provide structured, expert-level feedback - Work independently on task-based assignments — fully on your own schedule Who You Are - Master's or PhD in Chemistry or a closely related field - Strong expertise in at least one of: organic, inorganic, physical, or computational chemistry - Comfortable applying advanced chemical concepts to novel, complex problem scenarios - Naturally detail-oriented with a commitment to scientific accuracy and clarity - Clear and effective written communicator — you can explain complex ideas precisely - Self-motivated and reliable when working independently Nice to Have - Experience coding in Python or working with computational chemistry software (e.g., Gaussian, VASP, ORCA) - Prior involvement in research, academic publishing, or scientific writing - Background in data annotation, data quality, or AI evaluation workflows - Experience designing assessments, problem sets, or technical training materials Why Join Us - Work on cutting-edge AI projects alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Make a direct, tangible impact on how AI understands and reasons through science - Potential for ongoing work and contract extension as new projects launch

Alignerr

Financial Modeling Expert — AI Training (Python & GitHub)

AlignerrFinance & Accounting / Software & Coding

$60-$100/hr

Worldwide

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About this role · Stem

About the Role What if your deep knowledge of financial modeling could directly shape how AI performs the work of a professional analyst? We're looking for Finance Subject Matter Experts who also know their way around Python and GitHub to audit, refine, and improve AI-generated financial modeling tasks — making sure they mirror how real analysts actually work. You'll review AI task instructions and scoring rubrics, then roll up your sleeves and edit Markdown files and Python scripts directly via Pull Requests to fix logic errors, close clarity gaps, and ensure every task meets professional standards. If you can build a DCF in your sleep and know your way around a P&L, this role was made for you. This is a fully remote, flexible contract role. Candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Compensation: $80–$110/hour - Commitment: 10–40 hours/week What You'll Do - Audit AI-generated financial modeling tasks to ensure they accurately replicate professional analyst workflows - Validate task instructions and scoring rubrics for logical soundness, completeness, and real-world relevance - Directly edit Markdown files and Python scripts via Pull Requests to resolve logic errors, ambiguity, or clarity gaps - Evaluate whether AI outputs reflect correct application of concepts like DCF analysis, P&L interpretation, financial statement modeling, and valuation techniques - Provide clear, structured feedback grounded in professional financial expertise - Collaborate asynchronously with a distributed team using GitHub-based workflows - Work independently on task-based assignments at your own pace and schedule Who You Are - Deep subject matter expertise in finance — you've worked as an analyst, in investment banking, corporate finance, equity research, FP&A, or a closely related field - Strong command of US-based financial terminology and frameworks (DCF, P&L, balance sheet analysis, WACC, comparable company analysis, etc.) - Proficient in Python — comfortable reading, writing, and debugging scripts used for financial calculations - Experienced with GitHub — you can clone repos, create branches, and submit Pull Requests without hand-holding - Comfortable editing Markdown for technical documentation - Detail-oriented with a systematic, quality-driven approach to review work - Clear, precise written communicator who can articulate what's wrong and why - Self-motivated and reliable when working independently Nice to Have - CFA, CPA, or MBA with a finance concentration - Professional experience building financial models in Excel or Python for deal evaluation, forecasting, or valuation - Background in teaching, mentoring, or creating training materials for financial concepts - Familiarity with AI/ML evaluation workflows or data annotation projects - Experience writing or reviewing technical rubrics or assessment criteria Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact task-based work - Apply your hard-earned financial expertise to a genuinely novel problem — teaching AI to think like a real analyst - Potential for ongoing work and contract extension as new projects launch

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