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Alignerr

Mathematics Researcher (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

Worldwide

About this role · Stem

About the Role What if your expertise in advanced mathematics could directly shape how AI reasons, solves problems, and thinks — for millions of people around the world? We're looking for Mathematics Researchers with Masters or PhD-level credentials to help train and evaluate cutting-edge AI models. Your deep knowledge of algebra, calculus, statistics, or discrete mathematics will be put to work building the mathematical backbone of next-generation AI systems. This is a fully remote, flexible contract role. No prior AI experience needed — just serious mathematical expertise and a sharp eye for rigor and precision. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and review advanced mathematical problems with real-world relevance and intellectual depth - Apply your expertise in algebra, calculus, statistics, discrete mathematics, or related fields to design complex, well-structured problem statements - Evaluate AI-generated mathematical reasoning for correctness, rigor, and clarity - Collaborate asynchronously with AI researchers and domain experts to push the boundaries of AI mathematical capability - Ensure precision, logical consistency, and depth across all deliverables - Work independently on task-based assignments — fully on your own schedule Who You Are - Holds a Master's or PhD in Mathematics or a closely related field - Deeply proficient in one or more of: algebra, calculus, statistics, or discrete mathematics - Experienced coding in Python, MATLAB, or Mathematica for research or applied projects - Exceptionally detail-oriented — you notice gaps in logic, missing steps, and subtle errors - Clear and precise written communicator in English - Able to work independently and asynchronously without close supervision Nice to Have - Prior experience with data annotation, data quality, or AI evaluation workflows - Background in academic research, technical writing, or peer review - Familiarity with mathematical problem-solving competitions or curriculum design - Experience translating complex mathematical concepts into clear, accessible explanations 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 stimulating work - Make a direct, tangible impact on how AI understands and reasons through mathematics - Potential for ongoing work and contract extension as new projects launch

Alignerr

Atmospheric Science Expert (Masters/PhDs)

AlignerrSTEM

$75-$90/hr

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About this role · Stem

About the Role What if your deep expertise in atmospheric science could directly shape how AI understands our planet's most complex systems — from climate modeling to ecological dynamics? We're looking for Atmospheric Science experts to develop and evaluate advanced scientific problems that train the next generation of AI models to reason with genuine scientific rigor. This is a fully remote, flexible contract role built for researchers and domain specialists. No AI background needed — just a command of atmospheric science and a passion for applying your knowledge to problems that matter. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and review advanced atmospheric and environmental science problems with real-world relevance - Apply your expertise in climate modeling, ecology, sustainability, or related disciplines to craft complex, high-quality problem statements - Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness - Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI scientific reasoning - Ensure scientific rigor, clarity, and intellectual depth across all deliverables - Work independently on task-based assignments — fully on your own schedule Who You Are - Master's or PhD in Atmospheric Science, Environmental Science, or a closely related field - Strong expertise in at least one of: climate modeling, ecology, atmospheric dynamics, or sustainability science - Proficient in Python or R for research or data analysis - Exceptional written communicator — able to express complex ideas with precision and clarity - Detail-oriented and intellectually rigorous in your approach to scientific problems - Self-motivated and comfortable working independently in an asynchronous environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Background in scientific writing, peer review, or academic publishing - Familiarity with AI tools or language model evaluation as an end user - Experience mentoring students or communicating science to non-specialist audiences 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 - Apply your scientific expertise to problems with real-world impact at a global scale - Potential for ongoing work and contract extension as new projects launch

Alignerr

Electrical Engineering

AlignerrSTEM

$35-$60/hr

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About this role · Coding

About the Role We're looking for electrical engineering experts 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 excellence. - 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 such as circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance - Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the gold-standard benchmark for AI learning and evaluation - Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (e.g., IEEE, NEC) - Refine AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback to improve model performance - Work Independently — Manage your own schedule and contribute asynchronously on your own terms Who You Are - Pursuing or have completed a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline - Strong foundational expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing - Able to communicate complex technical concepts clearly and precisely in written form - Meticulous attention to detail — especially when working with mathematical equations, circuit logic, and technical documentation - No prior AI experience required Nice to Have - Experience with data annotation, data quality evaluation, or AI model evaluation workflows - Familiarity with engineering simulation tools or programming environments - Background in applied or research-oriented electrical engineering Why Join Us - Work on cutting-edge AI projects in collaboration with leading AI research labs - Fully remote and flexible — work when and how much you choose - Freelance perks: autonomy, variety, and global collaboration - Exposure to state-of-the-art large language models and the processes behind training them - Meaningful work — your engineering knowledge directly improves AI accuracy and reliability - Potential for ongoing work and contract extension

Alignerr

Applied Physics

AlignerrSTEM

$40-$80/hr

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About this role · Stem

About the Role What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — probing their grasp of quantum mechanics, electrodynamics, thermodynamics, and more — and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience needed — just rigorous scientific training and an uncompromising eye for physical truth. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Physics Problems — Craft PhD-level, open-ended problems spanning classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics that demand multi-step reasoning and rigorous mathematical derivation - Author Ground-Truth Solutions — Write precise, step-by-step "golden responses" with perfect units, constants, and logical flow to serve as the benchmark for AI evaluation - Audit AI Reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles - Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop physics-informed reasoning — respecting boundary conditions, conservation laws, and real-world constraints - Work Independently — Complete task-based assignments asynchronously on your own schedule 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 the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, and the logical structure of a proof all matter to you - Self-motivated and reliable when working independently - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or academic benchmarking - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research, academia, or technical writing - Familiarity with AI or LLM evaluation workflows Why Join Us - Work on cutting-edge AI projects alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Contribute directly to ensuring AI respects the laws of physics — work that genuinely matters - Exposure to advanced large language models and how they are trained and evaluated - Potential for ongoing work and contract extension as new projects launch

Alignerr

Electrical Engineering

AlignerrSTEM

$35-$60/hr

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About this role · Coding

About the Role We partner with the world's leading AI research labs to build and train cutting-edge AI models — and we need electrical engineers who know their domain cold. As an AI Data Trainer, you'll stress-test advanced language models on real engineering challenges, expose their blind spots, and help shape the next generation of AI reasoning. This is a fully remote, flexible contract role. You set your schedule and work on your own terms. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Craft advanced electrical engineering problems across circuit analysis, power systems, signal processing, electromagnetics, and more to probe the limits of AI performance - Author Gold-Standard Solutions — Write rigorous, step-by-step solutions that serve as the benchmark the AI learns from - Audit Technical Accuracy — Review AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (IEEE, NEC, etc.) - Sharpen AI Reasoning — Identify flawed logic and reasoning gaps in AI responses, then provide structured feedback to improve how the model thinks through engineering problems - Document Failure Modes — Systematically record where and how AI models break down so those weaknesses can be addressed 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 domains: VLSI, control systems, signal processing, telecommunications, power electronics, or embedded systems - Able to communicate complex technical concepts clearly and precisely in writing - High attention to detail when reviewing equations, circuit logic, and technical documentation - Self-directed and comfortable working independently in an async environment - No prior AI experience required — your engineering expertise is what matters Nice to Have - Experience with data annotation, technical writing, or evaluation workflows - Familiarity with simulation tools (MATLAB, SPICE, etc.) - Background in engineering standards bodies or technical review processes Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and async — work when and where it suits you - Freelance flexibility with the potential for long-term, ongoing contracts - Gain rare behind-the-scenes insight into how advanced LLMs are built and trained - Your expertise directly influences how AI understands and reasons about engineering

Alignerr

Data Science Expert - AI Content Specialist

AlignerrData & Analytics / STEM / Software & Coding

$40-$80/hr

Worldwide

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About this role · Stem

About the Role What if your deep knowledge of machine learning, statistics, and data engineering could directly influence how the world's most advanced AI systems reason and respond? We're looking for Data Science Experts to join Alignerr's network of specialists helping train and evaluate frontier AI models. This is a fully remote, flexible contract role designed for experienced data scientists who want meaningful, intellectually stimulating work — on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Challenges: Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely test the limits of AI reasoning. - Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the gold standard for model evaluation. - Audit AI-Generated Code: Evaluate outputs from models using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices. - Sharpen AI Reasoning: Identify flawed logic in AI responses — data leakage, overfitting, mishandled imbalanced datasets — and provide structured feedback that directly improves how models think. Who You Are - Advanced Degree: Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative discipline with a strong emphasis on data analysis. - Domain Expertise: Solid foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP. - Analytical Communicator: Able to explain complex algorithmic and statistical concepts clearly and concisely in writing. - Precision-Oriented: High attention to detail when reviewing code syntax, mathematical notation, and statistical conclusions. - No prior AI or annotation experience required — your data science expertise is what matters. Nice to Have - Experience with data annotation, data quality review, or AI evaluation workflows - Familiarity with production-level data science practices such as MLOps or CI/CD for model deployment Why Join Us - Work hands-on with industry-leading large language models and frontier AI research - Fully remote and async — work when and where it suits you - Freelance flexibility with the substance of high-impact, skill-matched work - Contribute to AI development that shapes how models understand and apply data science at a global scale - Potential for ongoing contract renewals as new projects launch

Alignerr

Lean 4 Mathematical Formalization Expert

AlignerrSTEM / Software & Coding

$170-$200/hr

Worldwide

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About this role · Stem

About the Role What if your deep knowledge of formal proof and mathematical rigor could directly shape how AI reasons about mathematics? We're looking for Lean 4 experts to translate rigorous mathematical content into machine-verified formal proofs — working at the cutting edge of AI development where automation alone isn't enough. This is a fully remote, flexible contract role built for mathematicians and formal verification specialists who want meaningful, high-impact work on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: Flexible — work at your own pace What You'll Do - Formalize mathematical content from natural language sources — textbooks, research articles, exercises — into valid, compilable Lean 4 code - Translate theorems, lemmas, propositions, and proofs into precise formal representations - Ensure formal code accurately captures the mathematical meaning and logical structure of original statements - Review and validate Lean 4 formalizations for correctness, consistency, and logical soundness - Identify ambiguities, missing assumptions, or logical gaps in informal mathematical descriptions - Contribute to high-quality datasets pairing human-written mathematics with formal Lean 4 equivalents for AI training Who You Are - Strong hands-on experience with Lean 4 — you write precise, correct, and maintainable formal proofs - Solid background in mathematics, formal logic, or formal verification - Comfortable reading advanced mathematical texts and translating them into formal systems - Exceptional attention to detail and commitment to logical rigor - Interested in the intersection of AI, automated reasoning, and mathematical verification Nice to Have - Experience with other theorem provers or formal systems (Coq, Isabelle, Agda, etc.) - Prior involvement in AI training, expert annotation, or reasoning-focused dataset creation - Familiarity with proof assistants or formal methods research - Background in academic mathematics or computer science research Why Join Us - Work at the frontier of AI — your contributions directly improve how AI models reason about mathematics - Fully remote and flexible — work from anywhere, entirely on your own schedule - Clearly defined tasks and evaluation criteria — you always know what success looks like - Top performers are selected for extended engagements and advanced or leadership tracks - Join a network of elite mathematicians and specialists solving problems automation can't

Alignerr

Lean 4 Proof Engineer - Mathematical Formalization

AlignerrSTEM / Software & Coding

$170-$200/hr

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About this role · Coding

About the Role What if your deep mathematical training could directly shape the future of AI reasoning? We're looking for Lean 4 Proof Engineers to formalize advanced mathematical proofs for cutting-edge AI research — working at the precise intersection where rigorous mathematics meets machine-verifiable logic. This is a fully remote, flexible contract role built for mathematicians who find genuine satisfaction in translating elegant human arguments into structures a machine can understand and verify. If you live for precision and thrive at the frontier of what formal proof assistants can do, this role was made for you. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Translate informal mathematical proofs into Lean 4 (and related proof systems) with a focus on clarity, structure, and correctness - Analyze generic and domain-specific proofs — identifying gaps, hidden assumptions, and formalizable sub-structures - Construct formalizations that push the limits of existing proof assistants, especially where tools struggle or fail - Collaborate with AI researchers 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 - Guide proof decomposition, lemma selection, and structuring strategies for formal models - Formalize classical proofs and compare machine-verifiable structures against textbook arguments - Investigate where automated provers break down — and articulate precisely why (complexity, missing lemmas, insufficient libraries, etc.) - Create Lean proofs that surface 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 systems — Lean strongly preferred - Deep enthusiasm for formal verification, proof assistants, and the future of mechanized mathematics - Ability to translate informal mathematical arguments into clean, well-structured formal proofs - Self-motivated and capable of working independently in an asynchronous, remote environment Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools - Experience contributing to large-scale formalization projects (e.g., 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 explaining formalization decisions, edge cases, and reasoning strategies Why Join Us - Work directly on cutting-edge AI projects alongside world-leading research labs - Fully remote and async-friendly — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Contribute to mapping the frontier of what formal verification can express, capture, and automate - Gain rare exposure to how advanced AI models are trained and evaluated at the highest level - Potential for ongoing work and contract extension as new projects launch

Alignerr

Biochemist

AlignerrSTEM

$35-$70/hr

Worldwide

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About this role · Stem

About the Role Your deep expertise in biochemistry is exactly what the next generation of AI needs. At Alignerr, we partner with the world's leading AI research labs to build and train cutting-edge scientific models — and we need PhD-level biochemists to help us get the science right. This is a fully remote, flexible contract role where you'll challenge, evaluate, and improve advanced AI models on complex biochemistry topics. Your work will have a direct impact on how AI reasons about life science — from protein folding to enzyme kinetics. No prior AI experience required. If you know biochemistry at a deep level, we'll handle the rest. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Problems — Create advanced biochemistry challenges across domains like nucleic acid chemistry, proteomics, metabolic flux analysis, and drug-target interactions to rigorously test AI performance - Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for high-level AI scientific reasoning - Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy and adherence to scientific standards - Refine AI Reasoning — Identify logical errors in AI responses — such as incorrect stoichiometry, misunderstood stereochemistry, or flawed mechanistic reasoning — and provide structured feedback to improve model performance Who You Are - Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field - Deep Domain Knowledge: Strong foundations in structural biology, enzymology, cellular metabolism, bioinformatics, or related areas - Clear Scientific Communicator: Able to explain complex biological and chemical concepts in precise, well-structured written form - Detail-Oriented: High precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, evaluation, or quality assurance workflows - Familiarity with computational tools such as PyMOL, AlphaFold, or BLAST - Background in science writing, peer review, or technical editing Why Join Us - Work on cutting-edge AI projects alongside top research labs and scientists - Fully remote and asynchronous — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and collaboration with a global expert community - Make a lasting impact on how AI understands and communicates science - 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 proof? We're looking for Formal Verification Scientists to translate advanced mathematical arguments into machine-verifiable Lean 4 proofs — working at the very edge of what proof assistants can express, capture, and automate. This is a fully remote, flexible contract role for mathematicians who are passionate about formal verification and want their expertise to matter in cutting-edge AI research. - 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 - Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable sub-structures - Push the boundaries of existing proof assistants, especially where automated tools struggle or fail - Develop highly readable, reproducible proof scripts aligned with mathematical best practices and Lean idioms - Collaborate with researchers to design and refine formal verification strategies for AI training pipelines - Provide expert guidance on proof decomposition, lemma selection, and structuring techniques - Investigate where and why automated provers break down — articulating failure modes clearly and constructively - Create Lean proofs that surface 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 - Possess 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 a comparable formal proof system — Lean 4 strongly preferred - Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics - Able to translate dense, informal arguments into clean, structured, and correct formal proofs - Comfortable working independently on complex, open-ended problems Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation techniques - Experience contributing to or working within large-scale formalization projects such as Mathlib - Exposure to theorem provers in settings where automated reasoning frequently requires manual scaffolding - Prior experience with data annotation, evaluation systems, or AI training workflows - Strong communication skills for documenting formalization decisions, edge cases, and reasoning strategies The Ideal Candidate You're a mathematically mature problem-solver who finds genuine satisfaction in taking a dense, elegant human argument and expressing it in a form a machine can verify. You appreciate precision and structural beauty, and you're energized — not frustrated — by the gaps that automated tools cannot yet bridge. You want your mathematical expertise to contribute to something that matters. Why Join Us - Work at the frontier of formal verification and AI research alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, technically demanding work - Gain direct exposure to how advanced LLMs are trained and evaluated on mathematical reasoning - Contribute to a rapidly evolving field where your work has lasting impact - Potential for ongoing work and contract extension as new projects launch

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 train and improve some of the world's most advanced AI models. Your deep knowledge of chemistry will directly shape how AI reasons through complex scientific problems — from undergraduate fundamentals to graduate-level challenges. This is a unique opportunity to apply your academic expertise in a cutting-edge field, work alongside leading AI research teams, and make a lasting impact on the future of science-focused AI — all on your own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design rigorous, advanced chemistry problems to test and challenge AI performance across domains such as chemical engineering, biochemistry, organic chemistry, and more - Develop clear, step-by-step solution walkthroughs with precise, well-reasoned logic - Evaluate AI-generated responses for scientific accuracy, depth of reasoning, and overall quality - Collaborate with researchers to refine benchmarks spanning undergraduate through Masters-level chemistry topics - Provide structured, actionable feedback that helps improve AI model performance over time Who You Are - 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 and accuracy - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, quality evaluation, or scientific writing - Familiarity with AI tools or large language models - Background spanning multiple chemistry sub-disciplines Why Join Us - Work directly with industry-leading AI research labs on genuinely cutting-edge projects - Fully remote and flexible — work when and where it suits you - High autonomy and independence as a contractor - Contribute to meaningful work that advances how AI handles complex scientific reasoning - Potential for ongoing contract renewals and expanded project involvement

Alignerr

Biochemist

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 scientific expertise will directly shape how AI understands and reasons through complex biochemistry — from protein folding and enzyme kinetics to metabolic flux and molecular genetics. This is a rare opportunity to apply your deep domain knowledge to one of the most transformative technologies of our time, all from the comfort of your own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft challenging biochemistry problems spanning nucleic acid chemistry, proteomics, drug-target interactions, and more to rigorously stress-test AI performance - Author Ground-Truth Solutions — Write precise, step-by-step technical responses that serve as benchmarks for high-level scientific reasoning in AI systems - Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical proofs for technical accuracy and adherence to scientific standards - Identify and Correct Reasoning Errors — Pinpoint logical failures — such as incorrect stoichiometry, flawed stereochemistry, or misapplied biochemical principles — and deliver structured feedback to improve AI reasoning Who You Are - Holds a PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related field - Strong foundational expertise in one or more of: structural biology, enzymology, cellular metabolism, bioinformatics, or proteomics - Able to communicate highly technical biological and chemical concepts clearly and precisely in writing - Detail-oriented with a sharp eye for errors in complex chemical equations, molecular diagrams, and experimental logic - Self-motivated and comfortable working independently and asynchronously - No prior AI experience required Nice to Have - Experience with data annotation, quality evaluation, or scientific peer review - Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST - Background in writing scientific documentation, technical reports, or academic publications Why Join Us - Work on cutting-edge AI projects in partnership with leading AI research labs - Fully remote and flexible — work on your own schedule, anywhere in the world - Make a meaningful impact on how AI handles scientific reasoning in the life sciences - Freelance perks: autonomy, variety, and collaboration with a global expert community - Potential for ongoing work and contract extension

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 forestry and land management scientists to help shape how AI understands sustainable forest management, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the accuracy and reliability of AI systems used by researchers, practitioners, and policymakers worldwide. This is a fully remote, flexible contract role — work on your own schedule while making a meaningful contribution to the future of AI in environmental science. - 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, depth, and scientific soundness of content related to forest health, land use, and sustainability - Identify factual errors, oversimplifications, or flawed management recommendations - Provide clear, structured feedback that improves AI reasoning on applied environmental topics - Work independently and asynchronously to complete task-based assignments 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, silviculture, and sustainable land-use practices - Ability to critically evaluate applied environmental decision-making and management scenarios - Comfortable reviewing and responding to written technical content - Self-motivated, reliable, and able to work independently without close supervision Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related discipline - Experience with land-use planning, conservation programs, or environmental policy - Familiarity with AI content evaluation, annotation, or data labeling workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule, anywhere - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI handles real environmental challenges - Potential for ongoing work and contract extension

Alignerr

Soil and Water Conservation Scientist

AlignerrSTEM

$30-$55/hr

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About this role · Stem

About the Role We're looking for soil and water conservation scientists to help evaluate and improve AI systems trained on sustainable land and water management practices. Your scientific expertise will directly shape how AI understands, reasons about, and communicates complex environmental concepts — making a real impact on the future of conservation-focused technology. - Organization: Alignerr (Powered by Labelbox) - Type: Hourly / Task-based Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review AI-generated soil and water conservation scenarios for scientific accuracy and practical applicability - Assess content related to erosion control, watershed management, and soil health - Identify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputs - Provide clear, structured feedback to improve scientific rigor, clarity, and real-world relevance - Work independently and asynchronously on your own schedule Who You Are - 3+ years of hands-on experience in soil science, hydrology, or conservation planning - Strong working knowledge of soil processes, water systems, and conservation techniques - Able to critically evaluate applied environmental science reasoning - Comfortable reviewing and responding to technical written content - Detail-oriented and self-motivated with the ability to meet deadlines independently Nice to Have - Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field - Experience with field assessments, GIS tools, or conservation planning platforms - Familiarity with AI systems or content evaluation workflows Why Join Us - Work on cutting-edge AI projects with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that helps AI get environmental 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 the Role What if your deep mathematical training could directly shape how AI understands and reasons about formal proofs? We're looking for mathematicians and formal verification specialists to translate rigorous human arguments into machine-verifiable Lean 4 proofs — working at the very edge of what automated reasoning can achieve. This is a fully remote, flexible contract role designed for mathematically mature researchers who find elegance in precision and satisfaction in bridging the gap between human intuition and formal logic. - 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, logical gaps, and formalizable sub-structures - Construct formalizations that probe and expose the limits of current proof assistants, especially where automation breaks down - Investigate why automated provers fail — complexity barriers, missing lemmas, insufficient libraries — and articulate those findings clearly - Collaborate with researchers to design and refine strategies for improving formal verification pipelines - Provide expert guidance on proof decomposition, lemma selection, and structuring techniques for formal models - Formalize classical proofs and compare machine-verifiable structures against standard textbook arguments - Uncover deeper patterns or generalizations implicit in the original mathematics through the formalization process Who You Are - Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Possess a strong foundation in rigorous proof writing across algebra, analysis, topology, logic, or discrete mathematics - Have hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable proof systems — Lean 4 strongly preferred - Genuinely enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics - Able to take a dense, informal mathematical argument and express it precisely in a form a machine can verify 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 AI evaluation systems - Strong communication skills for explaining formalization decisions, edge cases, and proof strategies to collaborators Why Join Us - Work on cutting-edge AI projects alongside leading research labs at the frontier of AI and formal mathematics - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually challenging work - Contribute directly to shaping how AI reasons about mathematics at a foundational level - Collaborate with a global team of researchers pushing the boundaries of mechanized proof - Potential for ongoing work and contract extension as new projects launch

Alignerr

Biology Subject Matter Expert - AI Content Specialist

AlignerrSTEM

$35-$55/hr

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About the Role We're looking for biology experts to help evaluate and improve AI systems trained on advanced scientific content. Your domain knowledge will directly shape how AI understands, reasons through, and communicates complex biology — from cellular mechanisms to biotechnology applications. This is a unique opportunity to work at the intersection of science and cutting-edge AI research, contributing to projects that push the boundaries of what large language models can do in STEM fields. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced biology questions and problems to rigorously test AI reasoning and performance - Develop clear, step-by-step solutions with rigorous scientific logic across undergraduate to Masters-level topics - Evaluate AI-generated outputs for accuracy, depth, and quality of reasoning - Identify gaps, errors, and weaknesses in AI responses to complex biology problems - Collaborate with researchers to refine benchmarks and improve AI training datasets - Work independently and asynchronously on your own schedule Who You Are - Masters degree (pursuing or completed) in Biology, Biotechnology, Biochemistry, or a closely related field - Strong reasoning and problem-solving skills across advanced biology domains - Able to communicate complex scientific concepts clearly and precisely in writing - Comfortable providing structured, critical feedback on technical content - Detail-oriented and self-motivated - No prior AI experience required Nice to Have - Experience in data annotation, data quality review, or evaluation systems - Familiarity with AI or language model workflows - Background spanning multiple biology subfields (e.g., molecular biology, genetics, physiology, ecology) Why Join Us - Work on cutting-edge AI projects with top research labs and AI companies - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: high autonomy, variety, and global collaboration - Contribute to meaningful work that advances how AI handles complex scientific reasoning - Potential for ongoing work and contract renewals

Alignerr

Forestry and Land Management Scientist (AI Training)

AlignerrSTEM

$30-$55/hr

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About the Role We're looking for experienced forestry and land management scientists to help shape how AI understands sustainable forestry, land-use planning, and ecosystem management. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — 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 factual errors, oversimplifications, or flawed management recommendations - Provide clear, structured feedback to improve AI reasoning on applied environmental topics - 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, silviculture, and land management practices - Able to critically evaluate applied environmental decision-making and technical content - Clear written communicator who can articulate feedback precisely and constructively - Self-motivated and comfortable managing your own workload remotely Nice to Have - Degree in Forestry, Natural Resources, Environmental Science, or a related discipline - Experience with land-use planning, conservation programs, or regulatory compliance - Familiarity with AI systems, content evaluation, or data annotation workflows Why Join Us - Work on cutting-edge AI projects with leading research organizations - Fully remote and flexible — contribute on your own terms and schedule - Freelance perks: autonomy, variety, and collaboration with a global network of experts - Use your specialist knowledge in a high-impact, intellectually engaging role - Potential for ongoing work and contract extension

Alignerr

Data Science Expert - AI Content Specialist

AlignerrData & Analytics / STEM / Software & Coding

$40-$80/hr

Worldwide

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About the Role What if your deep knowledge of machine learning, statistics, and data engineering could directly shape the next generation of AI? We're looking for Data Science Experts to stress-test and improve advanced AI models — designing hard problems, writing gold-standard solutions, and catching the reasoning errors that make AI unreliable. This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students who want meaningful, intellectually engaging work on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Craft advanced data science scenarios across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more - Author Ground-Truth Solutions — Build rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that set the standard for correct AI responses - Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness - Sharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that improves how models think Who You Are - Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field - Strong foundational knowledge in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP - Able to communicate complex algorithmic and statistical concepts clearly in written form - Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality evaluation, or model evaluation workflows - Familiarity with production-level data science practices such as MLOps or CI/CD for models Why Join Us - Work directly with industry-leading large language models on technically stimulating challenges - Fully remote and asynchronous — work when it suits you, from anywhere - Freelance autonomy with consistent, task-based structure - Collaborate with top AI research labs on problems that actually matter - Potential for ongoing contract work and project renewals as new models launch

Alignerr

Chemistry Masters

AlignerrSTEM

$35-$55/hr

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About the Role We're looking for chemistry experts to help evaluate and improve AI systems being trained on advanced scientific content. Your deep knowledge of chemistry will directly shape how the next generation of AI models reasons through complex scientific problems — making a real impact on the future of AI. This is a fully remote, flexible contract role open to anyone currently pursuing or holding a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a related field. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging, graduate-level chemistry problems to rigorously test AI performance across domains such as chemical engineering, biochemistry, organic chemistry, and more - Develop clear, step-by-step solutions with precise, logical reasoning that AI models can learn from - Evaluate AI-generated outputs for scientific accuracy, depth of reasoning, and quality - Collaborate with researchers to build and refine benchmarks spanning undergraduate through Master's-level chemistry topics - Provide structured, written feedback that improves how AI handles complex scientific content Who You Are - Currently pursuing or have completed a Master's degree in Chemistry, Chemical Engineering, Biochemistry, or a closely related field - Strong scientific reasoning and problem-solving skills across advanced chemistry domains - Able to communicate complex ideas clearly and precisely in writing - Detail-oriented, self-motivated, and comfortable working independently - No prior AI experience required — your chemistry knowledge is what matters Nice to Have - Experience with data annotation, data quality assessment, or evaluation systems - Familiarity with AI or machine learning workflows - Background spanning multiple chemistry sub-disciplines Why Join Us - Work on cutting-edge AI projects alongside world-leading research labs - Fully remote and flexible — work on your own schedule, from anywhere - Freelance perks: high autonomy, variety, and global collaboration - Directly contribute to meaningful scientific advancement in AI - Potential for ongoing work and contract extension

Alignerr

Applied Formal Methods Researcher (Lean 4)

AlignerrSTEM / Software & Coding

$170-$200/hr

Worldwide

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About the Role What if your deep mathematical training could directly shape how AI reasons, proves, and understands the most complex ideas in human knowledge? We're looking for Applied Formal Methods Researchers to formalize advanced mathematical proofs in Lean 4 — helping map the frontier of what machines can verify, and building the foundation for the next generation of AI reasoning systems. This is a fully remote, flexible contract role for mathematicians who are passionate about formal verification and want their expertise to matter beyond the page. - 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 - Analyze proofs across domains — identifying gaps, hidden assumptions, and formalizable substructures - Construct formalizations that test the limits of existing proof assistants, especially where automated tools struggle or fail - Collaborate with researchers to design and refine strategies for improving formal verification pipelines - Develop highly readable, reproducible proof scripts aligned with mathematical best practices - Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models - Formalize classical proofs and compare machine-verifiable structures against textbook arguments - Investigate where automated provers break down and articulate exactly why — complexity, missing lemmas, insufficient libraries, and beyond Who You Are - Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - Possess 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 proof systems — Lean strongly preferred - Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics - Skilled at translating dense, informal arguments into clean, structured, machine-readable proofs - A mathematically mature problem-solver who finds satisfaction in resolving gaps that automated tools cannot yet bridge Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools - Experience with large-scale formalization projects such as Mathlib - Exposure to theorem provers where automated reasoning frequently requires manual scaffolding - Prior experience with data annotation, quality evaluation, or AI training workflows - Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies Why Join Us - Work at the intersection of advanced mathematics and cutting-edge AI research - Collaborate with world-leading AI research teams and labs - Fully remote and flexible — work on your own schedule from anywhere - Freelance autonomy with meaningful, intellectually rigorous work - Gain direct exposure to how frontier AI models are trained and evaluated - Potential for ongoing engagement and contract extension as projects evolve

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