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Alignerr

Environmental Management Scientist (AI Training)

AlignerrSTEM

$30-$55/hr

Worldwide

About this role · Stem

About the Role We're looking for experienced environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the quality and accuracy of AI systems being used across research, policy, and industry — work that genuinely matters. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations - Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning - Identify gaps between theoretical approaches and real-world environmental practice - Provide clear, structured feedback to improve the accuracy, depth, and applicability of AI outputs - Work independently and asynchronously on your own schedule Who You Are - 3+ years of hands-on experience in environmental management, conservation, or a closely related field - Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment - Able to critically evaluate written environmental analyses and identify practical shortcomings - Comfortable delivering detailed, structured written feedback - Self-motivated and reliable when working independently on task-based assignments Nice to Have - Master's degree in Environmental Management, Environmental Science, or a related discipline - Experience with environmental policy, regulatory compliance, or permitting frameworks - Familiarity with AI tools or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and help define how AI handles complex environmental topics - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI supports sustainability and environmental decision-making - Potential for ongoing work and contract extension

Alignerr

Electrical Engineering

AlignerrSTEM

$35-$60/hr

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About this role · Coding

About the Role We're looking for experienced electrical engineers to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from circuit analysis to power systems to signal processing. This is a fully remote, flexible contract role where your expertise becomes the benchmark for AI accuracy. - 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, and signal processing to stress-test AI reasoning - Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation - Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs against engineering standards (IEEE, NEC, etc.) - Refine AI Reasoning — Identify logical gaps and flaws in AI-generated engineering reasoning and provide structured feedback to improve model performance - Cover Key Domains — Work across embedded systems, control systems, VLSI, telecommunications, robotics, power electronics, and engineering simulations Who You Are - Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong foundational knowledge in one or more core EE domains — VLSI, control systems, telecommunications, signal processing, or power electronics - 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 on an async, flexible schedule - No prior AI experience required Nice to Have - Experience with data annotation, data quality assurance, or technical evaluation workflows - Familiarity with AI or large language model (LLM) systems - Background in engineering simulation tools or formal verification methods Why Join Us - Work on cutting-edge AI projects alongside world-leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance perks: autonomy, variety, and global collaboration - Expand your exposure to advanced LLMs and how frontier AI models are trained - Meaningful work that directly improves how AI handles real-world engineering challenges - Potential for ongoing work and contract extension

Alignerr

Physics Expert

AlignerrSTEM

$20-$120/hr

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About this role · Stem

Labelbox • Remote (United States preferred) Shape the data that powers frontier AI --- Quick facts - Engagement | Hourly, at‑will contractor - Schedule | Fully remote & asynchronous (min. 15 hrs/week) - Pay Range (US) | $25 – $100 per hour - Start Date | Rolling — staffed as projects launch --- What you’ll do - Data annotation: Accurately label and categorize physics problems, concepts, diagrams, experiments, and other relevant data - Concept mapping: Connect key physics principles and establish relationships between different topics (e.g., mechanics, electromagnetism, thermodynamics) to help AI models grasp the structure of the subject - Solution review: Analyze and verify AI-generated solutions to physics problems, identifying errors and offering clear feedback to improve model performance - Content development: Help create well-rounded training datasets that span a variety of physics topics and difficulty levels --- You’re a great fit if - You bring deep expertise in physics (research, teaching, or applied problem-solving) - You’ve built or reviewed complex scientific, educational, or technical content (lab work, curriculum, simulations, or similar) - You communicate challenging physical concepts clearly and enjoy turning theory into real-world understanding - Bonus: Experience with data labeling, RLHF, or other AI training projects --- About the role - Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs --- Interview process - Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience. - Domain-specific Zara interview to assess your understanding of fundamental physics principles, your ability to analyze complex processes, and your skill in applying theoretical frameworks to real-world scenarios. --- About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. --- Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.

Alignerr

Environmental Science Expert (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your years of graduate-level research in climate modeling, ecology, or sustainability could directly shape how AI reasons about the planet's most pressing challenges? We're looking for Environmental Science experts to help build and train cutting-edge AI models — designing complex, real-world problems that push AI to think at the level of a domain scientist. This is a fully remote, flexible contract role. No AI background needed — just deep environmental science expertise and a passion for rigorous, meaningful work. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and review advanced environmental science problems with real-world relevance and scientific depth - Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to design complex, multi-step problem statements - Evaluate AI-generated responses for scientific accuracy, rigor, and reasoning quality - Collaborate asynchronously with AI researchers and fellow domain experts to improve how AI models handle environmental science topics - Ensure clarity, depth, and scientific integrity across all deliverables - Work independently on task-based assignments at your own pace Who You Are - Master's or PhD in Environmental Science, Climate Science, Ecology, Earth Systems, or a closely related field - Strong expertise in at least one of: climate modeling, ecology, sustainability science, environmental data analysis, or related areas - Comfortable coding in Python or R for research, modeling, or data analysis - Exceptionally clear written communicator — you can explain complex science precisely and accessibly - Detail-oriented and rigorous — you hold yourself to publication-quality standards - Fluent in English Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in interdisciplinary environmental research spanning multiple domains - Familiarity with AI tools or large language model capabilities as an end user - Experience communicating science to non-specialist audiences Why Join Us - Work on cutting-edge AI projects 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 - Make a direct, tangible impact on how AI understands and reasons about environmental science - Contribute to AI development at a moment when getting climate and ecology reasoning right genuinely matters - Potential for ongoing work and contract extension as new projects launch

Alignerr

Semiconductor Material Science (Masters/PhDs)

AlignerrSTEM

$75-$90/hr

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About this role · Stem

About the Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons about the physical world? We're looking for Materials Science specialists — Masters and PhD level — to work alongside leading AI research teams, helping train and evaluate cutting-edge AI models on some of the most complex problems in modern science. This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, intellectually stimulating work on their own schedule. No prior AI experience required — your scientific expertise is what matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced material science problems with real-world relevance - Apply your expertise in semiconductor materials, molecular modeling, or related disciplines to design and evaluate complex problem statements - Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning - Ensure scientific rigor, clarity, and depth across all deliverables - Help push the frontier of what AI can understand and reason about in the physical sciences Who You Are - Master's or PhD in Material Science, or a closely related field - Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas - Proficient in Python or MATLAB for research or project work - Exceptionally clear communicator — both in writing and verbally — with strong attention to detail - Self-directed and reliable when working independently in an asynchronous environment - Based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Background in computational materials science, DFT, or simulation-based research - Experience writing or reviewing technical documentation for non-specialist audiences - Familiarity with AI tools or evaluation platforms as an end user Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, domain-specific work - Apply your advanced scientific expertise in a completely new and impactful context - Potential for ongoing work and contract extension as new projects launch

Alignerr

Forestry and Land Management Scientist (AI Training)

AlignerrSTEM

$30-$55/hr

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About this role · Stem

About the Role We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real-world impact from wherever you work. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review forestry and land management scenarios used in AI training datasets - Assess the accuracy of AI-generated content related to forest health, land use, and sustainability - Identify errors, oversimplifications, or misleading recommendations in AI outputs - Provide clear, structured feedback to improve how AI reasons through applied environmental problems - Work independently and asynchronously on your own schedule Who You Are - 3+ years of hands-on experience in forestry, land management, or a closely related field - Strong understanding of forest ecosystems, silviculture, and sustainable land-use practices - Able to critically evaluate applied environmental decision-making and technical content - Comfortable reviewing and annotating written technical material - Detail-oriented and self-motivated with the ability to meet deadlines independently Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related field - Experience with land-use planning, conservation programs, or regulatory frameworks - Familiarity with AI content evaluation or data annotation workflows Why Join Us - Work on cutting-edge AI projects with leading research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that shapes how AI handles real environmental challenges - Potential for ongoing work and contract extension

Alignerr

Mechanical Engineering

AlignerrSTEM

$35-$60/hr

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About this role · Coding

About the Role We're looking for mechanical engineers to help train and improve cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and FEA. This is a unique opportunity to sit at the intersection of engineering and artificial intelligence, contributing to some of the most advanced AI systems being built today. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Craft advanced, multi-domain challenges across areas like FEA, heat transfer, kinematics, and material science to rigorously test AI performance - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning - Audit AI Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Refine Model Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed failure analysis — and provide structured feedback to strengthen model performance Who You Are - Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline - Strong foundational expertise in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex physical phenomena and mathematical concepts clearly and concisely in writing - Highly detail-oriented — comfortable checking derivations, unit conversions, and physical system constraints with precision - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or evaluation workflows - Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS - Familiarity with evaluating simulation outputs or AI-generated technical code Why Join Us - Work on genuinely cutting-edge AI projects in collaboration with world-leading research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance autonomy with the opportunity to contribute to meaningful, high-impact work - Gain rare insight into how advanced large language models (LLMs) are trained and improved - Potential for ongoing work and contract extension

Alignerr

Chemistry Expert (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your years of advanced chemistry training could directly shape how AI reasons through the most complex scientific problems on earth? We're looking for Chemistry Masters and PhDs to design, solve, and evaluate advanced chemistry problems that teach AI to think like a real scientist. This is a fully remote, flexible contract role built for working researchers, academics, and industry chemists. No AI background needed — just deep domain expertise and a commitment to scientific rigor. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and develop complex, real-world chemistry problems spanning organic, inorganic, physical, and computational chemistry - Solve and review advanced problem sets with scientific precision, depth, and clarity - Evaluate AI-generated chemistry reasoning and identify gaps, errors, or oversimplifications - Collaborate asynchronously with AI researchers and domain experts to improve model performance - Ensure scientific rigor and accuracy across all deliverables — from problem design to written explanations Who You Are - Holds a Master's or PhD in Chemistry or a closely related scientific field - Deep expertise in one or more of the following: organic, inorganic, physical, or computational chemistry - Comfortable writing clearly and precisely — you can explain complex chemistry to a technically literate audience - Detail-oriented, methodical, and able to work independently without close supervision - Proficient in Python or experienced with computational chemistry software (e.g., Gaussian, VASP) - Fluent in English Nice to Have - Prior experience with data annotation, scientific evaluation, or AI training workflows - Background in research, academic instruction, or technical writing - Familiarity with quantum chemistry, molecular dynamics, or cheminformatics tools - Experience reviewing or grading complex chemistry problems at a graduate level Why Join Us - Work at the frontier of AI — your expertise directly shapes how next-generation models understand science - Fully remote and flexible — work when and where it suits you, on your own schedule - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Collaborate with world-leading AI research labs and domain experts across disciplines - Potential for ongoing work and contract extension as new projects launch

Alignerr

Machine Learning Evaluation Specialist

AlignerrData & Analytics / STEM

$200-$400/hr

Worldwide

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About the Role What if your years of research and domain expertise could directly shape how the next generation of AI models think and reason? That's exactly what this role offers. We're looking for ML experts and domain specialists to design fiendishly difficult evaluation problems that push state-of-the-art AI systems to their limits. This isn't about textbook prompts — it's about crafting the kind of challenges that only someone with deep, hard-earned expertise can build and judge. Your work will directly influence how leading AI models are measured, improved, and deployed. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design complex, original machine learning problems rooted in your specialized domain of expertise - Craft evaluation tasks that go beyond standard ML pipelines and require genuine advanced knowledge to solve - Draw from your own research experience to build challenges that would stump a highly capable AI - Write clear, precise problem statements with defined evaluation criteria and gold-standard solutions - Assess AI-generated ML solutions for correctness, creativity, and methodological rigor - Document problem difficulty, required domain knowledge, and expected failure modes - Collaborate asynchronously with a global team of researchers and engineers --- Who You Are - You hold graduate-level expertise (MS or PhD preferred) in a scientific or technical domain intersecting with machine learning - You have strong working knowledge of core ML methods — model selection, feature engineering, evaluation metrics, and pipeline design - You're deeply familiar with active, open research problems in your field - You can pinpoint exactly where general ML knowledge falls short and specialized domain insight becomes essential - You have experience conducting or publishing original research (highly valued) - You communicate complex ideas clearly and precisely in writing - You're self-motivated and thrive when working independently on intellectually demanding problems --- Example Domains (Not Exhaustive) We're actively seeking specialists across a wide range of fields, including: - Computational biology, genomics, or bioinformatics - Climate science and environmental modeling - Medical imaging and healthcare ML - Materials science and computational chemistry - Astrophysics and signal processing - NLP for low-resource or specialized corpora - Robotics, control theory, or reinforcement learning - Financial modeling and quantitative analysis If your domain isn't listed, we still want to hear from you — if your expertise is deep and niche, it's valuable. --- Why Join Us - Work at the frontier — contribute directly to AI evaluation and safety research that matters - Make your expertise count — finally, a role that rewards deep domain knowledge, not just generalist skills - Collaborate globally — work asynchronously alongside top researchers and engineers around the world - Full autonomy — flexible schedule, no micromanagement, work when and how you do your best thinking - Ongoing opportunity — strong potential for contract extension and deeper research involvement - Build your profile — be recognized as a contributor to cutting-edge AI development

Alignerr

Biology Researcher (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your years of scientific training in genetics, biotechnology, or bioinformatics could directly shape how AI reasons through the most complex problems in biology? We're looking for biology experts to help build and refine cutting-edge AI models — designing challenging problems, evaluating scientific reasoning, and ensuring AI gets the biology right. This is a fully remote, flexible contract role built for working researchers, postdocs, and academics who want to apply their expertise in a high-impact, intellectually stimulating way — on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and review advanced biology problems with real-world scientific relevance - Apply your expertise in genetics, biotechnology, bioinformatics, or related disciplines to design complex, rigorous problem statements - Evaluate AI-generated scientific reasoning for accuracy, depth, and clarity - Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning - Ensure scientific rigor and precision across all deliverables - Work independently on task-based assignments — fully on your own schedule Who You Are - Hold a Master's or PhD in Biology or a closely related field (Genetics, Molecular Biology, Bioinformatics, Biotechnology, etc.) - Deep expertise in at least one of: genetics, biotechnology, or bioinformatics - Comfortable coding in Python or R for research or analytical purposes - Exceptional written communicator — you can explain complex science with precision and clarity - Naturally rigorous and detail-oriented in your scientific thinking - Fluent in English Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation systems - Background in computational biology or systems biology - Experience writing or reviewing scientific literature or grant proposals - Familiarity with AI tools or large language model workflows Why Join Us - Work on cutting-edge AI projects alongside the world's leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually engaging work - Directly influence how AI understands and reasons through advanced scientific problems - Potential for ongoing work and contract extension as new projects launch

Alignerr

Applied Physics

AlignerrSTEM

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your deep understanding of the physical world could directly shape how AI reasons about reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their understanding of quantum mechanics, electromagnetism, thermodynamics, and more. This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and the ability to think rigorously about how the universe works. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and statistical mechanics - Author Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every constant, unit conversion, and logical step is airtight - Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles - Refine AI Thinking — Provide structured, expert feedback to improve how AI models handle boundary conditions, conservation laws, and physics-informed constraints - Document Failure Modes — Systematically record how and where AI reasoning breaks down so models can be corrected and improved at a foundational level Who You Are - PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional analytical writing skills — you can explain complex derivations clearly and precisely in structured English - Uncompromising attention to detail when it comes to units, notation, and the logical flow of a proof - Self-motivated and able to work independently without hand-holding - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, dataset quality review, or scientific evaluation systems - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research publishing or technical writing - Familiarity with AI tools or large language models as an end user Why Join Us - Work on high-impact 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, task-based work - Gain rare, first-hand exposure to how cutting-edge AI models are built and trained - Contribute to work that ensures AI understands and respects the fundamental laws of the universe - Potential for ongoing work and contract extension as new projects launch

Alignerr

CFD Engineer — AI Task Designer (OpenFOAM)

AlignerrDesign & Creative / STEM

$80-$110/hr

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About this role · Coding

About the Role What if your expertise in computational fluid dynamics could teach AI to reason about aerodynamics, boundary conditions, and flow physics — without you ever having to write a single line of machine-learning code? We're looking for CFD engineers and aerodynamicists to design small, well-defined engineering challenges that train and evaluate AI models on real fluid-dynamics reasoning. Each task you create has three parts: a clear problem statement, a deterministic checker that scores the model's answer, and a trusted reference solution that proves the task is solvable. Think of it as writing bite-sized CFD exam problems — grounded in physics, unambiguous, and automatically gradable. No reinforcement-learning or AI research background is required. What matters is your hands-on simulation experience and your ability to translate domain knowledge into precise, solvable tasks. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design compact, self-contained CFD and aerodynamics tasks that test an AI model's engineering reasoning - Write clear, unambiguous problem statements covering topics such as boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup - Develop deterministic scoring checkers that can automatically evaluate a model's final answer - Provide verified reference solutions that confirm each task is solvable and correctly scored - Review and iterate on tasks to ensure physical accuracy, clarity, and appropriate difficulty - Draw on your experience with OpenFOAM to ground tasks in real-world practice - Work independently and asynchronously — fully on your own schedule --- Who You Are - Hands-on experience with OpenFOAM - Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals - Comfortable with mesh generation, turbulence modeling, boundary-condition specification, and post-processing - Able to formulate engineering problems that are precise, self-contained, and objectively verifiable - Strong written communication skills — you can explain complex physics clearly and concisely - Background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline (BS or higher preferred) - Self-motivated and reliable when working independently without supervision --- Nice to Have - Experience across multiple CFD solvers or multiphysics platforms - Familiarity with scripting or automation (Python, Bash, MATLAB) for setting up or post-processing simulations - Exposure to design optimization, flow-control strategies, or adjoint methods - Graduate-level coursework or research in aerodynamics, propulsion, or computational methods - Previous experience writing technical assessments, exam problems, or engineering challenges - Interest in how large language models reason about STEM problems --- Why Join Us - Apply your CFD expertise to cutting-edge AI research alongside leading labs — from a completely new angle - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - No need to retrain as a data scientist — your engineering judgment is exactly what's needed - Contribute directly to teaching AI models real-world physical reasoning - Potential for ongoing work and contract extension as new projects launch

Alignerr

Physics Subject Matter Expert - AI Content Specialist

AlignerrSTEM

$35-$55/hr

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About this role · Stem

About the Role We're looking for physics experts to help train and evaluate the next generation of AI models. Your deep knowledge of physics will directly shape how AI reasons through complex scientific problems — from undergraduate fundamentals to graduate-level challenges. This is a fully remote, flexible contract role. You choose when you work, and your expertise drives real impact on AI systems used by millions. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design rigorous, advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more - Develop clear, step-by-step solutions that demonstrate structured reasoning and logical precision - Evaluate AI-generated responses for scientific accuracy, depth, and quality of reasoning - Collaborate with researchers to refine benchmarks across undergraduate to Masters-level physics topics - Provide structured, actionable feedback that helps AI models improve over time Who You Are - Currently pursuing or holding a Master's degree (or higher) in Physics, Applied Physics, or a closely related field - Strong problem-solving skills across multiple advanced physics domains - Able to communicate complex scientific concepts clearly and precisely in writing - Detail-oriented with a systematic approach to evaluating quality and accuracy - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required — your physics knowledge is what matters Nice to Have - Experience with data annotation, data quality review, or evaluation workflows - Familiarity with AI or large language model (LLM) systems - Background in physics education, tutoring, or technical writing Why Join Us - Work directly with industry-leading AI research teams and cutting-edge language models - Fully remote and async — work on your schedule, from anywhere - Freelance flexibility: high autonomy, no rigid hours, no commute - Contribute to meaningful work that advances scientific reasoning in AI - Strong potential for ongoing contracts and expanded project involvement

Alignerr

Environmental Engineering - AI Data Trainer

AlignerrSTEM

$35-$60/hr

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About this role · Coding

About the Role We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineers to make it happen. As an Environmental Engineering AI Data Trainer, you'll use your domain expertise to challenge, audit, and improve advanced AI systems on topics like water and wastewater treatment, air quality management, hazardous waste remediation, and environmental compliance. Your work will directly shape how AI reasons through complex real-world engineering problems. This is a unique opportunity to sit at the intersection of environmental science and cutting-edge technology — without leaving your home office. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Advanced Problems — Develop complex, domain-specific engineering challenges covering contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA) - Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions — from chemical dosage calculations to hydraulic flow models — that serve as benchmark "golden responses" for AI training - Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance, and safety - Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts, and provide structured feedback to improve model performance --- Who You Are - Advanced Degree — Masters (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline - Deep Domain Knowledge — Strong foundation in areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Strong Technical Writer — Able to communicate complex ecological and engineering concepts clearly, precisely, and concisely in written form - Detail-Oriented — High precision when working with unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory compliance frameworks (e.g., EPA, ISO 14001) - No AI experience required — if you know your engineering, we'll handle the rest Nice to Have - Prior experience with data annotation, data quality review, or evaluation workflows - Familiarity with environmental modeling software - Experience writing technical reports, EIS documents, or regulatory submissions --- Why Join Us - Work on cutting-edge AI projects with top-tier research labs - Fully remote and flexible — work on your own schedule, 10–40 hours per week - Freelance autonomy: you choose when and how much you work - Make a meaningful impact by improving how AI handles real environmental engineering challenges - Collaborate with a global network of subject matter experts - Potential for ongoing work and contract extension

Alignerr

Biochemistry Subject Matter Expert - AI Content Specialist

AlignerrSTEM

$35-$70/hr

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About this role · Stem

About the Role We're looking for PhD-level Biochemists to help evaluate and improve cutting-edge AI models trained on advanced scientific content. Your expertise will directly shape how AI understands and reasons through complex biochemical concepts — from protein folding to metabolic flux — making a real impact on the future of scientific AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create advanced biochemistry questions and scenarios across domains like nucleic acid chemistry, proteomics, enzyme kinetics, and drug-target interactions to rigorously test AI performance. - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for high-level scientific reasoning. - Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy, safety, and scientific validity. - Refine AI Reasoning — Identify and document logical errors in AI responses — such as incorrect stoichiometry, flawed stereochemistry, or misapplied metabolic principles — and provide structured feedback to improve model performance. Who You Are - Advanced Degree: PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field - Domain Expertise: Strong foundational knowledge in areas such as structural biology, enzymology, cellular metabolism, or bioinformatics - Clear Communicator: Able to translate highly technical biological and chemical concepts into precise, well-structured written explanations - Detail-Oriented: High level of precision when reviewing complex chemical equations, molecular diagrams, and experimental protocols - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or evaluation systems - Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST - Background in scientific writing, peer review, or curriculum development Why Join Us - Work on high-impact AI projects alongside the world's leading research labs - Fully remote and flexible — design your own schedule around your existing commitments - Freelance perks: autonomy, intellectual variety, and global collaboration - Gain firsthand exposure to how advanced large language models are trained and evaluated - Potential for ongoing work and contract extension

Alignerr

Chemistry Specialist (Masters/PhDs)

AlignerrSTEM

$75-$90/hr

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About the Role What if your years of chemistry expertise could directly shape how AI reasons through the most complex scientific problems in the world? We're looking for Chemistry Specialists with advanced degrees to design, solve, and evaluate challenging chemistry problems that train cutting-edge AI models to think like scientists. This is a fully remote, flexible contract role built for working researchers, postdocs, and chemistry professionals who want to apply their deep domain knowledge in a new and meaningful direction. No AI background required — just rigorous scientific expertise and a passion for getting things right. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and develop complex, real-world chemistry problems spanning organic, inorganic, physical, or computational chemistry - Solve and review advanced problems to ensure scientific accuracy, depth, and rigor - Apply your domain expertise to craft nuanced problem statements that challenge and improve AI reasoning - Collaborate asynchronously with AI researchers and fellow domain experts to refine model outputs - Evaluate AI-generated chemistry content and provide structured, detailed scientific 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 - Deep expertise in at least one of: organic, inorganic, physical, or computational chemistry - Experience with Python or computational chemistry tools such as Gaussian, VASP, or similar platforms - Exceptional written communication skills — you can explain complex concepts with clarity and precision - Naturally detail-oriented and committed to scientific rigor in everything you produce - Self-motivated and reliable when working independently Nice to Have - Prior experience with data annotation, data quality assessment, or AI evaluation workflows - Background in academic research, scientific publishing, or curriculum development - Familiarity with molecular modeling, quantum chemistry, or cheminformatics - Experience writing or reviewing technical chemistry problems for education or professional use Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Put your advanced scientific training to use in a high-impact, forward-looking field - Contribute to AI systems that will shape how science is understood and communicated at scale - Potential for ongoing work and contract extension as new projects launch

Alignerr

Researcher - Lean 4 & Formal Proof Systems

AlignerrSTEM / Software & Coding

$170-$200/hr

Worldwide

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About the Role What if your mathematical expertise could directly shape how AI reasons about formal proofs — pushing the boundary of what machines can understand and verify? We're looking for mathematicians and formal verification specialists to translate sophisticated mathematical arguments into machine-verifiable Lean proofs, working on problems that sit at the very frontier of what automated systems can handle today. This is a fully remote, flexible contract role designed for researchers who love rigor, structure, and the intellectual challenge of making the implicit explicit. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into precise, machine-verifiable formalizations in Lean 4 (and related proof systems) - Analyze both generic and domain-specific proofs — identifying gaps, hidden assumptions, and formalizable sub-structures - Construct formalizations that test and extend the limits of existing proof assistants, especially where automation struggles or fails - Investigate the breakdown points of automated provers and articulate the underlying reasons — complexity, missing lemmas, library gaps, and more - Collaborate with research teams to design, refine, and evaluate strategies for improving formal verification pipelines - Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms - Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models - Create Lean proofs that surface deeper patterns or generalizations implicit in the original mathematics Who You Are - Holds a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Deeply grounded in rigorous proof construction across areas such as algebra, analysis, topology, logic, or discrete mathematics - Experienced with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable formal systems — Lean strongly preferred - Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics - Able to translate dense, informal mathematical arguments into clean, structured, formally verified proofs - Finds satisfaction in resolving the gaps that automated tools cannot yet bridge 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 where automated reasoning frequently fails or requires manual scaffolding - Prior experience with data annotation, data quality, or evaluation systems - Strong communication skills for articulating formalization decisions, edge cases, and reasoning strategies Why Join Us - Work directly on cutting-edge AI research projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with meaningful, intellectually stimulating work at the frontier of formal mathematics - Gain rare exposure to how advanced AI models are trained on formal reasoning tasks - Potential for ongoing work and contract extension as new projects launch

Alignerr

Mathematics Expert (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

Worldwide

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About the Role What if your years of mathematical training could directly shape how AI reasons through the hardest problems in the world? We're looking for Mathematics Experts — Masters and PhD holders — to help build the next generation of AI by crafting, solving, and evaluating advanced mathematical content. This is a fully remote, flexible contract role designed for serious mathematicians who want meaningful, intellectually stimulating work on their own schedule. Your expertise in algebra, calculus, statistics, discrete mathematics, or related fields will directly influence how AI models think, reason, and solve complex problems. - 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 statements - Evaluate AI-generated mathematical reasoning for accuracy, depth, and logical soundness - Collaborate asynchronously with AI researchers and domain experts to enhance 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 - Hold a Master's or PhD in Mathematics or a closely related field - Deeply skilled in one or more of: algebra, calculus, statistics, or discrete mathematics - Experienced coding in Python, MATLAB, or Mathematica for research or technical projects - Exceptionally detail-oriented — you notice when a proof is incomplete or a solution is imprecise - A clear, confident written communicator who can explain complex ideas with precision - Fluent in English Nice to Have - Prior experience with data annotation, data quality, or AI evaluation workflows - Background in academic research, teaching, or applied mathematics - Familiarity with AI tools or mathematical reasoning benchmarks - Experience reviewing or editing mathematical content for publication Why Join Us - Work on cutting-edge AI projects alongside the world's leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually rich work - Apply your advanced training to problems that genuinely push the boundaries of AI reasoning - Potential for ongoing work and contract extension as new projects launch

Alignerr

Natural Resource Conservation Scientist

AlignerrSTEM

$30-$55/hr

Worldwide

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About the Role We're looking for experienced natural resource conservation scientists to help shape how AI understands environmental science, land management, and conservation decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, policymakers, and practitioners worldwide. This is a fully remote, flexible contract role — work on your own schedule while contributing to cutting-edge AI development. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review conservation science questions and real-world scenarios used in AI training datasets - Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity - Assess whether AI-generated conservation recommendations reflect sound, real-world practices - Provide clear, structured feedback to improve AI scientific reasoning and outputs - Work independently and asynchronously to meet project deadlines on your own schedule Who You Are - 3+ years of professional experience in natural resource conservation, environmental science, or a related discipline - Strong foundational knowledge of ecosystems, land management principles, and conservation science - Able to critically evaluate scientific reasoning and applied conservation recommendations - Comfortable reviewing structured written content and delivering detailed, actionable feedback - Self-motivated and reliable when working independently in a remote environment Nice to Have - Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field - Hands-on fieldwork or applied conservation project experience - Familiarity with AI systems, content evaluation workflows, or scientific writing Why Join Us - Work on cutting-edge AI projects with top research labs and make a tangible impact on how AI handles environmental science - Fully remote and flexible — design your own schedule and work from anywhere - Freelance perks: autonomy, variety, and collaboration with a global team of experts - Contribute to meaningful work that helps AI better serve the conservation and environmental science community - Potential for ongoing work and contract extension

Alignerr

Mechanical Engineering Expert - AI Content Specialist

AlignerrSTEM

$35-$60/hr

Worldwide

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About the Role We're looking for mechanical engineering specialists to help train and improve cutting-edge AI models. Your technical expertise will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and beyond. This is a rare opportunity to apply your advanced engineering knowledge in a high-impact, flexible freelance role — no prior AI experience needed. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Craft advanced, multi-step problems across domains such as FEA (Finite Element Analysis), heat transfer, fluid mechanics, kinematics, and material science to rigorously test AI performance - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI systems use as reference standards for learning - Audit Technical Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Identify & Correct Reasoning Failures — Spot logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed material assumptions — and provide structured feedback to improve model performance Who You Are - Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong foundational knowledge in one or more core domains: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex physical phenomena and mathematical derivations clearly and concisely in writing - Highly detail-oriented — precise when checking mathematical derivations, unit conversions, and physical system constraints - No prior AI or data annotation experience required Nice to Have - Prior experience with data annotation, quality evaluation, or technical content development - Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS - Experience reviewing or generating technical documentation to industry standards Why Join Us - Work on some of the most technically demanding AI projects in the industry alongside top research labs - Fully remote and flexible — structure your work around your schedule - Freelance autonomy: choose your hours, work independently, and collaborate globally - Make a meaningful contribution to how AI reasons about the physical world - Potential for ongoing work and contract extension as projects evolve

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