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Alignerr

Forestry and Land Management Scientist (AI Training)

AlignerrSTEM

$30-$55/hr

Worldwide

About this role · Stem

About the Role We're looking for experienced forestry and land management professionals to help shape how AI understands sustainable land use, forest ecosystems, and environmental decision-making. Your field expertise will directly influence the accuracy and reliability of next-generation AI systems — making a real-world impact from wherever you work. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated forestry and land management scenarios for scientific accuracy - Assess content related to forest health, land use planning, and sustainability practices - Identify errors, oversimplifications, or flawed reasoning in AI-generated management recommendations - Provide clear, structured feedback that improves how AI models reason about applied environmental challenges - 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 working knowledge of forest ecosystems, land-use practices, and sustainability principles - Able to critically evaluate applied environmental decision-making and management strategies - Comfortable reading and reviewing detailed technical written content - Self-motivated and reliable when working independently Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related discipline - Experience with land-use planning, conservation programs, or regulatory frameworks - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and help shape how AI understands the natural world - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work at the intersection of environmental science and artificial intelligence - Potential for ongoing work and contract extension

Alignerr

Chemistry 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 chemistry experts to help evaluate and improve AI systems tackling advanced scientific problems. Your deep subject-matter knowledge will directly shape how AI reasons through chemistry — from undergraduate fundamentals to graduate-level complexity — making a real impact on the next generation of intelligent tools. This is a fully remote, flexible contract role. No prior AI experience is needed — just a strong command of chemistry and the ability to think rigorously. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging, advanced chemistry problems to rigorously test AI performance across areas such as chemical engineering, biochemistry, organic chemistry, and more - Develop clear, step-by-step solutions with precise, well-structured reasoning - Evaluate AI-generated outputs for scientific accuracy, logical soundness, and quality - Collaborate with researchers to refine benchmarks spanning undergraduate to Master's-level chemistry topics - Provide structured, detailed feedback that helps improve AI model performance Who You Are - Currently pursuing or have completed a Master's degree (or higher) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field - Strong analytical and problem-solving skills across advanced chemistry domains - Ability to communicate complex scientific concepts clearly and precisely in writing - Detail-oriented with a commitment to accuracy and logical rigor - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, data quality assessment, or evaluation systems - Familiarity with AI language models or scientific benchmarking - Background spanning multiple chemistry sub-disciplines Why Join Us - Work directly with industry-leading AI research labs on cutting-edge projects - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: high autonomy, variety of tasks, and global collaboration - Contribute to meaningful work that advances AI's understanding of science - Potential for ongoing contracts and long-term engagement

Alignerr

Data Scientist (Masters)

AlignerrData & Analytics / STEM / Software & Coding

$40-$80/hr

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About this role · Stem

About the Role What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and respond? We're looking for Masters-level data scientists to challenge, audit, and improve cutting-edge AI models — exposing their blind spots and helping build more intelligent, reliable systems. This is a fully remote, flexible contract role. No prior AI industry experience required — just deep, battle-tested knowledge of data science and the ability to communicate it precisely in writing. - 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 — tasks that genuinely stress-test AI reasoning - Author Ground-Truth Solutions — Produce rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative "golden responses" - Audit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing technical accuracy, efficiency, and correctness - Refine AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, mishandled class imbalance — and deliver structured feedback that improves how models think through data problems - Document Failure Modes — Systematically record how and why advanced language models fail on technical tasks, contributing directly to model hardening efforts Who You Are - Pursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a heavily quantitative field - Strong foundational knowledge across core areas — supervised and unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP - Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing - Exceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical reasoning that others miss - Self-motivated and reliable when working independently and asynchronously - No prior AI or data annotation experience required Nice to Have - Prior experience with data annotation, data quality workflows, or model evaluation systems - Proficiency in production-level data science environments — MLOps, CI/CD for models, or similar - Familiarity with prompt engineering or working alongside large language models - Broad cross-domain knowledge spanning multiple subfields of data science or statistics Why Join Us - Work directly with industry-leading AI research labs on genuinely frontier problems - Fully remote and flexible — work on your own schedule, from anywhere in the world - Freelance autonomy with the structure of meaningful, technically challenging work - Make a direct, traceable impact on how next-generation AI models reason through complex data science problems - Potential for ongoing contract renewals as new projects launch

Alignerr

Chemistry Subject Matter Expert - AI Content Specialist

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$35-$55/hr

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About this role · Stem

About the Role We're looking for chemistry experts to help evaluate and improve AI systems trained on advanced scientific content. Your deep subject knowledge will directly shape how AI understands and reasons through complex chemistry problems — making a real impact on the next generation of AI models. This is a fully remote, flexible contract role. You choose when you work, and your expertise does the heavy lifting. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced chemistry problems to rigorously test AI performance across domains such as chemical engineering, biochemistry, and physical chemistry - Develop clear, step-by-step solutions with logically sound, well-structured reasoning - Evaluate AI-generated outputs for scientific accuracy, depth, and quality of reasoning - Collaborate with researchers to refine and improve benchmarks spanning undergraduate to Master's-level chemistry topics - Provide structured, actionable feedback that helps AI models improve over time Who You Are - Currently pursuing or have completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field - Strong analytical and problem-solving skills across advanced chemistry domains - Able to communicate complex scientific concepts clearly and precisely in writing - Detail-oriented with a systematic approach to evaluating quality - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, data quality assessment, or evaluation workflows - Familiarity with large language models or AI-generated content - Background spanning multiple chemistry sub-disciplines Why Join Us - Work on cutting-edge AI projects in collaboration with top research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that advances how AI reasons about science - Potential for ongoing work and contract extension

Alignerr

Applied Physics Specialist

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$40-$80/hr

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About the Role What if your expertise in quantum mechanics, thermodynamics, and electrodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to probe, challenge, and stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their deep scientific knowledge to one of the most consequential technology challenges of our time. No prior AI experience required. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design PhD-Level Problems: Craft advanced, open-ended physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of first principles — equivalent to qualifying exam difficulty - Author Gold-Standard Solutions: Write meticulous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is airtight - Audit AI Reasoning: Evaluate AI-generated simulations, proofs, and derivations for physical consistency — identifying exactly where and why a model hallucinates physics that violates reality - Refine Model Behaviour: Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning, correctly handling boundary conditions, conservation laws, and dimensional analysis - Push the Frontier: Work on university-level and research-level benchmarks spanning quantum mechanics, electromagnetism, thermodynamics, classical mechanics, and beyond Who You Are - Completed or near-completing a PhD in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured written English - Uncompromising precision — you catch unit errors, sign mistakes, and flawed physical intuition on instinct - Self-directed and reliable when working independently on technical tasks - No prior AI or machine learning experience required Nice to Have - Experience with scientific computing tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in data annotation, scientific dataset evaluation, or academic peer review - Familiarity with AI language models as a user or researcher - Experience developing problem sets, exams, or instructional materials at the graduate level Why Join Us - Work on genuinely high-impact AI projects in partnership with leading research labs - Fully remote and async — work on your own schedule, from anywhere in the world - Freelance autonomy with the substance of meaningful, expert-level scientific work - Direct exposure to how frontier AI models are built, evaluated, and improved - Potential for ongoing work and contract extension as new projects launch

Alignerr

Wildlife and Habitat Conservation Scientist

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$30-$55/hr

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About this role · Stem

About the Role We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your field knowledge and ecological expertise will directly shape how AI understands and communicates complex conservation topics — making a real impact on how these critical subjects are represented in next-generation AI tools. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity - Assess the quality of ecological reasoning and proposed conservation strategies - Identify unrealistic assumptions, flawed methodology, or misapplied conservation principles - Provide structured, expert feedback to improve AI outputs in your area of specialization - Work independently and asynchronously on your own schedule Who You Are - 3+ years of experience in wildlife biology, ecology, habitat conservation, or a closely related field - Strong working knowledge of biodiversity science and ecosystem management principles - Able to critically evaluate applied ecological reasoning presented in written form - Comfortable reviewing and annotating structured scientific content - Self-motivated and reliable when working independently Nice to Have - Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related discipline - Hands-on field research or conservation program management experience - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects that sit at the intersection of conservation science and technology - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and collaboration with experts across the globe - Contribute to meaningful work that helps AI get conservation science right - Potential for ongoing work and contract extension

Alignerr

Applied Formal Methods Researcher (Lean 4)

AlignerrSTEM / Software & Coding

$170-$200/hr

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About this role · Stem

About the Role What if your deep mathematical expertise could directly shape the future of AI reasoning? We're looking for Applied Formal Methods Researchers to translate rigorous mathematical arguments into machine-verifiable proofs in Lean 4 — working at the very edge of what automated reasoning can do today. This is a fully remote, flexible contract role built for mathematicians who live and breathe formal verification. You'll work on proofs that push proof assistants to their limits, helping map the frontier of mechanized mathematics and contributing to some of the most technically demanding AI research happening right now. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into clean, structured, machine-verifiable formalizations in Lean 4 - Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures - Construct formalizations that test the boundaries of existing proof assistants, especially where automation breaks down - Investigate and articulate why automated provers struggle or fail — complexity, missing lemmas, library gaps, and beyond - Collaborate with researchers to design and refine strategies that improve formal verification pipelines - Develop highly readable, reproducible proof scripts aligned with mathematical best practices and Lean idioms - Provide expert guidance on proof decomposition, lemma selection, and structuring strategies for formal models - Formalize classical proofs and compare machine-verifiable structures against standard textbook arguments - Surface deeper patterns and generalizations that become visible only through formalization Who You Are - Holds a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics - Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or a comparable proof assistant — Lean strongly preferred - Able to translate dense, informal mathematical arguments into precise, structured formal proofs - Genuinely enthusiastic about formal verification, proof assistants, and the trajectory of mechanized mathematics - Mathematically mature and comfortable working at the frontier — where automated tools fall short and human insight is essential 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 manual scaffolding is frequently required - Prior experience with data annotation, evaluation systems, or data quality workflows - Strong written communication skills for documenting formalization decisions, edge cases, and reasoning strategies 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, technically demanding work - Contribute directly to advancing the state of mechanized mathematics and AI reasoning - Potential for ongoing work and contract extension as new projects launch

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 train and refine some of the world's most advanced AI models. Your deep scientific expertise will directly shape how AI reasons through complex topics — from protein folding and enzyme kinetics to metabolic flux and molecular genetics. This is a fully remote, flexible contract role. No prior AI experience is required — just rigorous scientific knowledge and sharp analytical thinking. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create advanced biochemistry questions spanning nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to stress-test AI reasoning - Author Ground-Truth Solutions — Write rigorous, step-by-step technical responses that serve as benchmarks for high-level scientific accuracy - Audit AI Outputs — Review AI-generated biochemical pathways, molecular structures, and mathematical proofs for correctness and adherence to scientific standards - Identify Reasoning Errors — Catch logical flaws such as incorrect stoichiometry, misapplied stereochemistry, or faulty metabolic logic, and provide structured feedback to improve model performance - Work Asynchronously — Complete tasks independently on your own schedule with no fixed hours Who You Are - PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field - Strong foundational expertise in areas such as enzymology, structural biology, cellular metabolism, or bioinformatics - Able to communicate complex scientific concepts clearly and precisely in written form - High attention to detail when reviewing chemical equations, molecular diagrams, and experimental protocols - Self-motivated and comfortable working independently - No prior AI experience required Nice to Have - Experience with data annotation, quality evaluation, or research review workflows - Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST - Background in scientific writing, peer review, or technical editing Why Join Us - Work on cutting-edge AI projects in partnership with leading AI research labs - Fully remote and flexible — work when and how much you want - Directly influence how AI understands and communicates advanced science - Freelance perks: autonomy, variety, and global collaboration - 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 train and refine the next generation of AI systems. Your deep scientific expertise will directly shape how AI reasons about complex topics — from protein folding and enzyme kinetics to metabolic flux and molecular genetics. This is a rare opportunity to apply your research-level knowledge in a meaningful, flexible, and well-compensated way — without leaving your home. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Create challenging, domain-specific biochemistry problems across areas like nucleic acid chemistry, proteomics, structural biology, and drug-target interactions to rigorously stress-test AI performance - Author Gold-Standard Solutions — Develop precise, step-by-step technical responses that serve as benchmarks for AI reasoning in life science contexts - Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for scientific accuracy, safety, and adherence to established standards - Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry, flawed stereochemistry, or misapplied biochemical principles, and deliver structured feedback to improve model performance - Work independently and asynchronously on your own schedule Who You Are - Hold a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline - Have strong foundational expertise in one or more of: structural biology, enzymology, cellular metabolism, molecular genetics, or bioinformatics - Can communicate highly technical biological and chemical concepts clearly and concisely in writing - Bring a high level of precision to reviewing complex chemical equations, molecular diagrams, and experimental protocols - Self-motivated and comfortable working independently on task-based assignments - No prior AI experience required Nice to Have - Experience with data annotation, data quality, or evaluation workflows - Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST - Background in academic writing, scientific publishing, or technical communication Why Join Us - Work on cutting-edge AI projects in partnership with leading AI research labs - Fully remote and flexible — set your own hours and work at your own pace - Freelance perks: autonomy, variety, and collaboration with experts across the globe - Contribute to work that meaningfully advances how AI understands science - Potential for ongoing work and contract extension

Alignerr

Physics Masters

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$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 cutting-edge AI models. Your deep understanding of physical principles will directly shape how AI reasons through complex problems — from undergraduate mechanics to graduate-level electromagnetism and beyond. This is a fully remote, flexible contract role working alongside top AI research labs. No prior AI experience needed — your physics background is what matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging, well-structured physics problems across domains including mechanics, electromagnetism, thermodynamics, and quantum mechanics - Develop rigorous, step-by-step solutions that demonstrate clear logical reasoning - Evaluate AI-generated responses for scientific accuracy, depth of reasoning, and quality - Collaborate with researchers to build and refine benchmarks spanning undergraduate to Masters-level physics - Provide structured, actionable feedback that directly improves AI model performance Who You Are - Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field - Strong analytical and problem-solving skills across advanced physics domains - Able to communicate complex concepts clearly and precisely in writing - Detail-oriented with a commitment to scientific accuracy - Self-motivated and comfortable working independently on a flexible schedule - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, evaluation, or quality assurance workflows - Familiarity with AI language models or STEM education platforms - Background in research or academic writing Why Join Us - Work on genuinely cutting-edge AI projects alongside leading research labs - Fully remote and asynchronous — work on your own schedule, from anywhere - Freelance perks: high autonomy, variety, and the flexibility to fit around your existing commitments - Contribute to meaningful work that shapes how AI understands the physical world - Potential for ongoing contracts and expanded project involvement

Alignerr

Mechanical Engineering Expert - AI Content Specialist

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$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 mechanical engineers to help make it happen. As a Mechanical Engineering Expert, your deep knowledge of fluid dynamics, thermodynamics, structural mechanics, and related domains will directly shape how the next generation of AI reasons through complex engineering problems. You'll challenge, audit, and refine AI thinking at the highest technical level — work that genuinely matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Create advanced, domain-specific challenges spanning FEA (Finite Element Analysis), heat transfer, kinematics, fluid dynamics, material science, and mechatronics to rigorously test AI performance - Author Gold-Standard Solutions — Write precise, step-by-step technical solutions and benchmark responses that AI models use as learning references - Audit AI Reasoning — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Identify and Correct Errors — Spot logical failures in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions — and provide structured feedback to improve model performance Who You Are - Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong foundational expertise in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex technical concepts and physical phenomena with clarity and precision in writing - Meticulous attention to detail when reviewing mathematical derivations, unit conversions, and physical system constraints - No prior AI experience required — if you know your engineering, we'll handle the rest Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS to evaluate AI-generated code or simulation workflows Why Join Us - Work on cutting-edge AI projects alongside top research labs and AI teams - Fully remote and flexible — work on your own schedule, 10 to 40 hours per week - Freelance perks: autonomy, variety, and collaboration with experts across the globe - Gain rare, hands-on exposure to how advanced large language models (LLMs) are built and trained - Contribute to work that shapes how AI understands and applies real engineering knowledge - Potential for ongoing work and contract extension

Alignerr

Researcher - Lean 4 & Formal Proof Systems

AlignerrSTEM / Software & Coding

$170-$200/hr

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About this role · Stem

About the Role What if your deep mathematical expertise could directly shape how AI reasons, proves, and understands the most rigorous structures in all of science? We're looking for mathematicians and formal verification specialists to translate sophisticated mathematical arguments into machine-verifiable Lean 4 proofs — working at the absolute frontier of what proof assistants can express and automate. This is a fully remote, flexible contract role designed for researchers who love precision, structural elegance, and the intellectual challenge of pushing formal systems beyond their current limits. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into clean, correct, machine-verifiable Lean 4 formalizations - Analyze proofs across domains — identifying hidden assumptions, gaps, and formalizable substructures - Construct formalizations that test the boundaries of existing proof assistants, especially where automation breaks down - Collaborate with AI researchers to design and refine formal verification strategies and pipelines - Develop readable, reproducible proof scripts aligned with mathematical best practices and Lean idioms - Provide expert guidance on proof decomposition, lemma selection, and structuring techniques - Investigate where automated provers fail — and articulate precisely why (complexity, missing lemmas, library gaps, etc.) - Formalize classical and advanced 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 - Are genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics - Can translate dense, informal mathematical arguments into precise, structured formal proofs - Are self-directed and comfortable working independently on complex, open-ended problems Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation tooling - 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, data quality, or AI evaluation systems - Strong communication skills for explaining formalization decisions, edge cases, and proof strategies Why This Role Stands Out - Work directly at the intersection of advanced mathematics and cutting-edge AI research - Collaborate with world-leading AI research teams and labs - Gain deep exposure to how frontier large language models are trained and evaluated - Fully remote and asynchronous — work on your own schedule, from anywhere - Freelance autonomy with the substance of genuinely meaningful, high-impact research work - Potential for ongoing contract extension as projects grow and evolve

Alignerr

Natural Resource Conservation Scientist

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$30-$55/hr

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About the Role Your expertise in natural resource conservation doesn't just belong in the field — it belongs at the frontier of AI development. We're looking for experienced conservation and environmental scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making. Your scientific knowledge will directly shape how AI understands and communicates complex conservation topics — helping ensure these systems are accurate, responsible, and grounded in real-world practice. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-Based Contract - Location: Fully 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 recommendations reflect current, real-world conservation practices and standards - Provide clear, structured feedback to improve AI scientific reasoning and output quality - Work independently and asynchronously on a schedule that fits your life --- Who You Are - 3+ years of professional experience in natural resource conservation, land management, or environmental science - Strong working knowledge of ecosystems, conservation principles, and applied land management - Able to critically evaluate scientific reasoning and identify flaws or gaps in AI-generated recommendations - Comfortable reviewing structured written content and delivering detailed, actionable feedback - Self-motivated and reliable when working independently on remote, task-based projects --- 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 data annotation platforms --- Why Join Us - Work on cutting-edge AI — contribute to the development of advanced large language models (LLMs) alongside top research organizations - Fully remote and flexible — work on your own schedule, from anywhere - Make a real impact — your expertise helps ensure AI gets environmental science right - Freelance perks — autonomy, variety, and collaboration with a global community of experts - Potential for ongoing work — strong contributors are considered for contract extensions and future projects

Alignerr

Environmental Engineering - AI Data Trainer

AlignerrSTEM

$35-$60/hr

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About this role · Coding

About the Role We're looking for environmental engineering specialists to help train and improve advanced AI models. Your technical expertise will directly shape how AI understands and reasons through complex environmental challenges — from water treatment and air quality to hazardous waste remediation and regulatory compliance. This is a unique opportunity to apply your hard-earned domain knowledge in a cutting-edge AI context, working flexibly and remotely on your own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Problems — Develop advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) - Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as the gold standard for AI responses - Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical reasoning for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and similar frameworks) - Improve AI Reasoning — Identify logical errors in AI outputs — such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts — and provide structured, actionable feedback Who You Are - Currently pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field - Strong foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation - Able to communicate complex ecological and engineering concepts clearly and precisely in writing - Meticulous attention to detail — unit conversions, chemical equations, and regulatory compliance logic are second nature to you - No prior AI experience required — we'll guide you through everything Nice to Have - Prior experience with data annotation, quality evaluation, or technical review workflows - Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools) Why Join Us - Work on cutting-edge AI projects with leading AI research labs and teams - Fully remote and flexible — work on your own schedule, anywhere - Freelance perks: autonomy, variety, and global collaboration - Make a meaningful impact — your expertise helps AI reason more accurately about real-world environmental challenges - Potential for ongoing work and contract extension

Alignerr

Formal Verification Scientist (Lean 4 & Mathlib)

AlignerrSTEM / Software & Coding

$170-$200/hr

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About this role · Stem

About the Role What if your deep mathematical training could directly shape how AI understands and reasons about formal proofs? We're looking for Formal Verification Scientists to translate rigorous human mathematics into machine-verifiable Lean 4 proofs — working at the very edge of what modern proof assistants can express and automate. This is a fully remote, flexible contract role for mathematicians who love precision, structural elegance, and the challenge of pushing formal systems to their limits. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into clean, structured Lean 4 formalizations with an emphasis on clarity, correctness, and reproducibility - Analyze proofs across domains — identifying hidden assumptions, gaps, and formalizable sub-structures - Construct formalizations that test and extend the limits of existing proof assistants, particularly where automation struggles or fails - Collaborate with AI researchers to design and refine strategies for improving formal verification pipelines - Investigate where and why automated provers break down — complexity, missing lemmas, library gaps — and document your findings clearly - Provide expert guidance on proof decomposition, lemma selection, and structuring techniques - Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics Who You Are - Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics - Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable proof systems — Lean 4 strongly preferred - Deep enthusiasm for formal verification, proof assistants, and the future of mechanized mathematics - Ability to take dense, elegant human arguments and express them in precise, machine-verifiable form - Self-directed and comfortable working independently on complex, open-ended problems 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 significant manual scaffolding - Prior experience with data annotation, data quality, or AI evaluation workflows - Strong written communication skills for explaining formalization decisions, edge cases, and reasoning strategies Why Join Us - Work directly on cutting-edge AI research projects alongside leading AI labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually demanding work - Operate at the frontier of formal verification and AI — where very few people in the world can contribute - Potential for ongoing work and contract extension as new projects launch

Alignerr

Electrical Engineering

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$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 electrical engineers to make it happen. Your domain expertise will directly shape how AI reasons through complex engineering problems, from circuit analysis to control systems to signal processing. This is a fully remote, flexible contract role designed to fit around your existing schedule. Whether you're a grad student, a working engineer, or a recently graduated EE, your technical knowledge has real value here. - 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, signal processing, electromagnetics, and embedded systems to stress-test AI performance - Write ground-truth solutions — Develop rigorous, step-by-step technical solutions that serve as benchmarks for AI learning - Audit AI outputs — Review AI-generated code, circuit diagrams, and mathematical derivations for technical accuracy, safety, and compliance with engineering standards (IEEE, NEC, etc.) - Improve AI reasoning — Identify logical gaps or flaws in AI-generated engineering reasoning and provide structured, actionable feedback to improve model performance --- Who You Are - Advanced degree in Electrical Engineering, Electronic Engineering, or a closely related field (Master's — pursuing or completed — or PhD) - Strong domain knowledge in one or more core EE areas: VLSI, control systems, telecommunications, power electronics, signal processing, or embedded systems - Clear technical communicator — you can explain complex engineering concepts in precise, well-structured written form - Detail-oriented — you catch errors in equations, circuit logic, and technical documentation that others miss - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, technical writing, or quality evaluation - Familiarity with simulation tools (MATLAB, SPICE, etc.) - Background in academic research or engineering standards review --- Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and flexible — set your own hours and workload - Freelance autonomy with the backing of a professional, global team - Meaningful work — your contributions directly improve how AI handles real engineering challenges - Potential for ongoing work and contract extension as projects grow

Alignerr

Applied Physics Specialist

AlignerrSTEM

$40-$80/hr

Worldwide

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About the Role What if your years of physics training could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose the gaps in their physical reasoning, and help ensure they respect the fundamental laws that govern our universe. This is a fully remote, flexible contract role built for serious scientists. No prior AI experience needed — just deep domain expertise and the ability to think rigorously. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design PhD-level physics problems — craft complex, open-ended challenges requiring multi-step logical reasoning, mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and more - Author rigorous ground-truth solutions — produce precise, step-by-step "golden responses" with flawless handling of physical constants, units, and logical flow - Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate conservation laws, boundary conditions, or established theory - Refine AI reasoning — provide structured, expert feedback that helps AI models develop more accurate, physics-informed reasoning and better handle real-world constraints - Document failure modes — systematically record where and how AI reasoning breaks down so these gaps can be systematically addressed Who You Are - Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional analytical writer — able to explain complex derivations and physical phenomena in clear, structured English - Uncompromising precision when it comes to units, scientific notation, dimensional analysis, and logical proof structure - Self-motivated and comfortable working independently on challenging, open-ended problems - No prior AI or machine learning experience required Nice to Have - Experience with scientific data annotation, dataset quality evaluation, or research benchmarking - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research-level problem design, such as qualifying exam authorship or peer review Why Join Us - Work at the frontier of AI development alongside world-leading research labs - Fully remote and flexible — set your own hours and work from anywhere - Freelance autonomy with access to genuinely interesting, intellectually demanding work - Direct, meaningful impact on how AI models understand and reason about the physical world - Exposure to cutting-edge large language models and the methods used to train them - 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 What if your expertise in ecosystems, land management, and conservation could help shape how AI understands the natural world? We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science content — ensuring these powerful tools reflect accurate, real-world conservation knowledge. This is a fully remote, flexible contract role where your scientific judgment directly influences the quality of next-generation AI. - 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, scenarios, and AI-generated content for scientific accuracy - Evaluate AI outputs related to land use, ecosystems, soil health, water systems, and biodiversity - Assess whether AI-generated conservation recommendations reflect sound, real-world practices - Identify gaps, errors, or misleading reasoning in AI-generated environmental science content - Provide structured, detailed feedback to improve AI scientific reasoning and outputs - Work independently and asynchronously to complete task-based assignments on your schedule Who You Are - 3+ years of professional experience in natural resource conservation, land management, or environmental science - Strong foundational knowledge of ecosystems, conservation principles, and applied land management - Able to critically evaluate scientific reasoning and applied recommendations with clarity - Comfortable reviewing structured written content and providing thorough, constructive 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 experience - Familiarity with AI systems, content evaluation, or annotation workflows Why Join Us - Work on cutting-edge AI projects with real-world environmental impact - Fully remote and flexible — complete tasks on your own schedule - Freelance perks: autonomy, variety, and collaboration with a global expert community - Contribute to work that shapes how AI reasons about conservation and the natural world - Potential for ongoing work and contract extension

Handshake

Mechanical Engineering Expert (Canada)

HandshakeSTEM

Up to $72/hr

Worldwide

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About this role

Overview Handshake is looking for experienced Mechanical Engineers to support AI research through flexible, part-time contract work. This is not a traditional engineering role—you'll draw on your hands-on experience in parametric solid modeling, GD&T-fluent drawing interpretation, standards-based mechanical calcs, or FEA validated with hand calcs to evaluate AI-generated content and provide feedback that helps AI reason like a practicing mechanical engineer. This is an ongoing, project-based opportunity that you can take on alongside your current role or studies. What You'll Do - Create expert-level mechanical engineering problems and scenarios grounded in real part, assembly, and analysis work that gets manufactured, tested, or approved - Review AI-generated responses for technical accuracy, practical feasibility, manufacturability, and alignment with industry standards and engineering practice - Evaluate models, drawings, tolerances, calculations, and FEA results for correctness, defensibility, and whether a reviewer could dimension against them - Provide clear, structured written feedback to help improve AI model performance - Complete tasks at your own pace, with no set schedule or minimum-hour requirement Qualifications - Industry experience — working mechanical engineer or current undergraduate/graduate student who has personally produced a part, assembly, or analysis that someone else manufactured, tested, or approved from - Degree — BS, MS, or PhD in Mechanical Engineering or a closely related engineering field - If you are in the process of completing your bachelor's degree, internship experience is required. - Mechanical expertise — demonstrated depth in one or more of the following areas: - Parametric solid modeling built to tolerance - GD&T-fluent drawing interpretation - Standards-based mechanical design calculations - FEA validated against hand calcs Additional Qualifications: These are not required but will strengthen your application: - Proficiency with tools such as SolidWorks, Creo, NX, CATIA, Inventor, Fusion 360, ANSYS, Abaqus, Nastran, MATLAB, or comparable modeling and analysis environments - Experience producing manufacturing-ready drawings or models — for machining, sheet metal, casting, injection molding, or additive processes - Experience at a manufacturer, product design firm, aerospace/defense contractor, automotive supplier Required for All Applicants: - Based in Canada - Strong written communication and attention to detail - Ability to explain complex mechanical engineering concepts clearly - Ability to work independently in a remote, asynchronous environment

Alignerr

Environmental Management Scientist (AI Training)

AlignerrSTEM

$30-$55/hr

Worldwide

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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 tackling some of the most important topics on the planet. 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 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 environmental models and real-world practice - Provide structured, detailed feedback to improve the clarity, accuracy, and applicability of AI outputs - Work independently and asynchronously to complete task-based assignments 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 principles, and impact assessment methodologies - Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies - Skilled at providing clear, structured written feedback - Self-motivated and comfortable working independently in a remote setting 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 systems, content evaluation workflows, or data annotation Why Join Us - Work on cutting-edge AI projects with top research labs and make a real impact on how AI handles environmental topics - Fully remote and flexible — work from anywhere, on your own schedule - Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts - Gain exposure to advanced large language models (LLMs) and how they are trained and evaluated - Potential for ongoing work and contract extension based on performance

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