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Alignerr

Applied Physics Specialist

AlignerrSTEM

$40-$80/hr

Worldwide

About this role · Stem

About the Role What if your expertise in physics could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — probing their reasoning across quantum mechanics, electrodynamics, thermodynamics, and beyond. This is a fully remote, flexible contract role. No AI background needed — just deep mastery of physics and the ability to think rigorously about where AI reasoning breaks down. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft PhD qualifying exam-level physics problems that demand multi-step logical reasoning, complex mathematical derivation, and first-principles thinking - Author Gold-Standard Solutions — Write rigorous, step-by-step model answers where every constant, unit conversion, and logical step is precisely correct - Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates fundamental laws - Refine Model Behavior — Provide structured, expert feedback to improve AI reasoning around boundary conditions, conservation laws, and physics-informed constraints Who You Are - PhD completed or near-completion in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, and logical flow of proof matter to you - Self-motivated and reliable when working independently and asynchronously - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance workflows - Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools - Background in research, academic publishing, or technical writing Why Join Us - Work alongside world-leading AI research labs on genuinely frontier problems - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with meaningful, intellectually stimulating work - Gain rare, direct exposure to how large language models are trained and evaluated at the frontier - Potential for ongoing work and contract extension as new projects launch

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Robotics Technician

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$40-$120/hr

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About this role · General

About the Role What if the way you make a cup of coffee, fold laundry, or open a door could help teach the next generation of robots? We're looking for Robotics Technicians to capture video of everyday tasks in their homes or workspaces — creating the real-world training data that AI-powered robots need to understand and navigate human environments. This is a fully remote, flexible contract role open to anyone with a smartphone or camera and a willingness to follow clear recording guidelines. No robotics, engineering, or AI background required — just you, your space, and your everyday routine. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Record video of yourself performing everyday household or workplace tasks — cooking, cleaning, organizing, and more - Follow detailed guidelines for camera angles, task sequences, and recording quality - Capture natural interactions with common objects, surfaces, and environments - Upload completed recordings and fill out simple metadata forms for each session - Maintain consistency and quality standards across multiple recording sessions - Help build the foundational datasets that train real-world AI robotics systems Who You Are - Access to a smartphone or camera capable of recording clear video - Comfortable recording in your own home or personal workspace - Able to follow detailed, step-by-step recording instructions - Reliable internet connection for uploading video files - Self-motivated and consistent when working independently - No technical, robotics, or AI experience required Nice to Have - Experience with video recording or basic content creation - Familiarity with file management and uploading media - A variety of spaces or environments available to record in Why Join Us - Work on cutting-edge AI and robotics projects alongside leading research labs - Fully remote and flexible — record on your own schedule, from your own space - Freelance autonomy with the structure of clear, task-based work - Contribute to meaningful innovation that is shaping how robots interact with the physical world - Potential for ongoing work and contract extension as new projects launch

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Biology Expert (Masters/PhDs)

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$75-$90/hr

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About this role · Stem

About the Role What if your years of advanced biology training could directly shape how AI reasons through the most complex problems in genetics, biotechnology, and bioinformatics? We're looking for Biology experts with Masters or PhD-level credentials to help build and refine cutting-edge AI models — ensuring they think with the rigor and depth that real science demands. This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their knowledge in a high-impact, forward-looking way. No prior AI experience needed — your scientific expertise is what matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced biology problems with real-world scientific relevance - Apply your expertise in genetics, biotechnology, bioinformatics, or related fields to design complex, rigorous problem sets - Collaborate asynchronously with AI researchers and domain experts to strengthen AI model reasoning and accuracy - Ensure scientific depth, clarity, and integrity across all deliverables - Work independently on your own schedule — fully asynchronous and remote Who You Are - Holder of a Master's or PhD in Biology or a closely related field (Genetics, Molecular Biology, Bioinformatics, Biotechnology, etc.) - Proficient in Python or R for research or data analysis purposes - Deep subject matter expertise in genetics, biotechnology, bioinformatics, or an adjacent discipline - Exceptionally clear communicator — both in writing and scientific reasoning - Detail-oriented with a commitment to scientific accuracy and intellectual rigor - Based in the U.S., Canada, U.K., Australia, or New Zealand Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Background in peer review, academic publishing, or scientific curriculum design - Familiarity with AI tools or large language model evaluation - Experience spanning multiple biology sub-disciplines 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, task-based scientific work - Make a direct, tangible impact on how AI understands and reasons through advanced biology - Contribute to work that shapes the future of science-focused AI at a global scale - Potential for ongoing work and contract extension as new projects launch

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Electrical Engineering

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$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 cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from circuit analysis to power systems — making a real impact on the next generation of intelligent systems. This is a fully remote, flexible contract role where you set your own schedule and contribute on your own terms. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create advanced electrical engineering problems spanning circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI models use as a learning standard - Audit Technical Accuracy — Evaluate AI-generated code, circuit diagrams, and mathematical proofs for correctness, safety, and alignment with engineering standards (IEEE, NEC, etc.) - Refine AI Reasoning — Identify logical gaps and errors in AI-generated engineering reasoning, then provide structured, actionable feedback to improve model performance - Push the Boundaries — Probe AI systems on topics like embedded systems, VLSI, telecommunications, robotics, and engineering simulations to expose failure modes and edge cases Who You Are - Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong foundational expertise in one or more core domains: VLSI, control systems, power electronics, signal processing, or telecommunications - Able to communicate complex technical concepts clearly and concisely in writing - Highly detail-oriented — comfortable checking mathematical equations, circuit logic, and technical documentation with precision - Self-motivated and able to work independently in an asynchronous environment - No prior AI experience required Nice to Have - Experience with data annotation, technical writing, or content evaluation - Familiarity with AI or machine learning workflows - Background in simulation tools (MATLAB, SPICE, etc.) or standards compliance 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: autonomy, variety, and global collaboration - Contribute to meaningful work that shapes how AI understands engineering - Gain rare, firsthand exposure to how advanced large language models are trained - Potential for ongoing work and contract extension

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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 Masters graduates and students to help train and evaluate cutting-edge AI models. Your deep understanding of physics will directly shape how AI reasons through complex scientific problems — contributing to some of the most advanced AI research happening today. This is a fully remote, flexible contract role designed to fit around your existing schedule, whether you're finishing your degree, working, or researching. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging, rigorous physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more - Develop clear, step-by-step solutions with well-reasoned logic at undergraduate-to-Masters level - Evaluate AI-generated responses for scientific accuracy, depth of reasoning, and quality - Collaborate with researchers to refine benchmarks and improve AI performance on advanced physics tasks - Work independently and asynchronously on your own schedule Who You Are - Currently pursuing or have completed a Master's degree in Physics, Applied Physics, or a closely related field - Strong problem-solving skills across advanced physics domains - Ability to articulate complex concepts clearly in writing - Comfortable providing structured, critical feedback - No prior AI experience required Nice to Have - Experience with data annotation, quality evaluation, or academic tutoring - Familiarity with AI or machine learning concepts - Background in research or technical writing 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 perks: high autonomy, variety, and global collaboration - Direct, meaningful impact on how AI understands and reasons through physics - Potential for ongoing work and contract renewals

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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 think and reason? We're looking for data scientists with graduate-level training to challenge, evaluate, and improve cutting-edge AI models — exposing their blind spots and helping them reason more rigorously about complex technical problems. This is a fully remote, flexible contract role. No prior AI industry experience required — just deep domain knowledge and a sharp analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Challenges: Craft sophisticated data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — pushing AI models to their limits - Author Ground-Truth Solutions: Write rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers - Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing correctness, efficiency, and technical soundness - Refine Model Reasoning: Identify flaws in AI reasoning such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured, actionable feedback to improve how models think - Document Failure Modes: Systematically record edge cases and reasoning errors to help harden model performance across real-world data science scenarios Who You Are - Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong emphasis on data analysis - Solid foundational knowledge across supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP - Able to communicate complex algorithmic concepts and statistical results clearly in written form - Naturally precise — you catch errors in code syntax, mathematical notation, and statistical conclusions - Self-directed and comfortable working independently on technical tasks - No prior AI or annotation experience required Nice to Have - Experience with data annotation, data quality assurance, or evaluation systems - Familiarity with production-level data science workflows — MLOps, CI/CD pipelines for models, or model monitoring - Background in technical writing or academic research communication Why Join Us - Work directly with industry-leading AI models and top-tier research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with meaningful, intellectually stimulating work - High agency over your schedule with 10–40 hours per week based on your availability - Potential for ongoing contract renewals as new AI projects launch

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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 systems — and we need electrical engineers to help get us there. As an Electrical Engineering AI Trainer, your deep domain expertise becomes the benchmark that cutting-edge language models are measured against. This is a fully remote, flexible contract role where your knowledge directly shapes how AI understands and reasons through complex engineering problems. - 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 domains such as circuit analysis, power systems, signal processing, electromagnetics, control systems, and embedded systems to stress-test AI performance - Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as ground-truth benchmarks for AI learning and evaluation - Audit AI Outputs — Evaluate AI-generated responses, circuit diagrams, mathematical proofs, and code for technical accuracy, logical soundness, and adherence to engineering standards (e.g., IEEE, NEC) - Sharpen AI Reasoning — Identify flaws in AI reasoning chains and deliver structured feedback that helps models think more like expert engineers Who You Are - Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field - Strong foundational expertise in one or more core domains: VLSI, control systems, telecommunications, power electronics, signal processing, or similar - Able to communicate complex technical concepts clearly and precisely in writing - Highly detail-oriented when reviewing equations, circuit logic, and technical documentation - Self-directed and comfortable working independently on a flexible schedule - No prior AI experience required Nice to Have - Experience with data annotation, technical writing, or quality evaluation workflows - Familiarity with simulation tools (MATLAB, SPICE, etc.) - Background spanning multiple EE subfields Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and async — work when it suits you, from anywhere - Freelance perks: autonomy, variety, and collaboration with a global expert community - Directly influence how AI understands one of the most technically demanding fields in the world - Potential for ongoing work and contract extension

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Biochemist

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$35-$70/hr

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About this role · Stem

About the Role What if your deep knowledge of protein folding, enzyme kinetics, and metabolic pathways could help shape the next generation of AI? At Alignerr, we partner with the world's leading AI research teams to build smarter, more scientifically rigorous models — and we need expert biochemists to make it happen. This is a fully remote, flexible contract role designed for PhD-level scientists who want to apply their expertise beyond the lab. You'll challenge, audit, and refine advanced AI language models on complex biochemical topics — work that directly influences how AI reasons about life science. No prior AI experience required. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week --- What You'll Do - Design Expert-Level Problems — Craft advanced biochemistry challenges spanning nucleic acid chemistry, proteomics, drug-target interactions, and more to rigorously test AI reasoning. - Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as gold-standard benchmarks for AI scientific reasoning. - Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and mathematical derivations for technical accuracy, safety, and scientific integrity. - Refine AI Reasoning — Identify logical errors — such as incorrect stoichiometry, flawed stereochemistry, or misapplied enzyme kinetics — and provide structured, actionable feedback to improve model performance. --- Who You Are - Advanced Degree: PhD (completed or in final stages) in Biochemistry, Molecular Biology, or a closely related discipline. - Deep Domain Knowledge: Strong foundational expertise in at least one of the following — structural biology, enzymology, cellular metabolism, or bioinformatics. - Clear Technical Communicator: Able to translate highly complex biological and chemical concepts into precise, well-structured written explanations. - Detail-Oriented: Exceptional precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols. - Self-Directed: Comfortable working independently and asynchronously in a remote environment. Nice to Have - Experience with data annotation, data quality assessment, or evaluation workflows - Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST - Background in scientific writing, peer review, or curriculum development --- Why Join Us - High-Impact Work — Your expertise directly shapes how AI understands and communicates science at the frontier of biological research. - Fully Remote & Flexible — Work on your own schedule, from anywhere in the world. - Cutting-Edge Exposure — Gain firsthand insight into how advanced large language models are trained and evaluated. - Freelance Autonomy — Enjoy the freedom and variety of contract work with meaningful, intellectually stimulating projects. - Ongoing Opportunity — Strong performers are regularly considered for contract extensions and new project matches.

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 solve problems? We're looking for skilled data scientists to challenge, audit, and refine cutting-edge AI models — pushing them to their limits and making them smarter in the process. This is a fully remote, flexible contract role built for data scientists who love deep technical problem-solving. No prior AI industry experience needed — just strong domain knowledge and a sharp analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Challenges: Develop advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — tasks that genuinely stress-test AI reasoning - Author Ground-Truth Solutions: Write rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as authoritative "golden responses" for model training - Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness - Refine Model Reasoning: Identify logical failures in AI thinking — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that sharpens how models reason through data science problems - Document Failure Modes: Capture and communicate every edge case and reasoning gap, helping research teams harden model performance across real-world data scenarios Who You Are - Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong focus on data analysis - Solid foundational knowledge in 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 - Naturally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions - No prior AI training or annotation experience required Nice to Have - Experience with data annotation, data quality, or evaluation systems - Familiarity with production-level data science workflows such as MLOps or CI/CD for models - Exposure to model evaluation, benchmarking, or AI research environments Why Join Us - Work directly with industry-leading AI research labs on cutting-edge model development - Fully remote and async — work when and where it suits you - Freelance autonomy with meaningful, intellectually stimulating task-based work - Engage hands-on with state-of-the-art large language models - Potential for ongoing contract renewals as new AI projects launch

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Mechanical 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 mechanical engineers to make it happen. Your deep domain expertise will directly shape how AI reasons through complex engineering problems, from fluid dynamics to structural mechanics. This is a unique opportunity to apply your engineering knowledge in a new frontier: teaching AI to think like an expert. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Engineering Problems — Create challenging, domain-specific problems across FEA, heat transfer, kinematics, thermodynamics, and material science that push AI to its limits - Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation - Audit AI Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO) - Refine Model Thinking — Identify flawed reasoning in AI outputs — such as incorrect force distributions, energy conservation violations, or faulty 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 knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing - Highly precise when working through mathematical derivations, unit conversions, and physical system constraints - Self-motivated and comfortable working independently on an async, flexible schedule - No prior AI experience required Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS - Experience reviewing or auditing technical documentation or engineering workflows Why Join Us - Work on cutting-edge AI projects with top research labs and AI teams - Fully remote and flexible — work on your own schedule, 10–40 hours/week - Freelance perks: autonomy, variety, and collaboration with experts across the globe - Make a direct, measurable impact on how AI understands engineering - Potential for ongoing work and contract extension

Alignerr

Biology Specialist (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

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About this role · Stem

About the Role What if your years of biology training could directly shape how AI reasons through the most complex problems in genetics, biotechnology, and bioinformatics? We're looking for Biology Specialists with advanced degrees to help build and refine the AI models that will define the next generation of scientific intelligence. This is a fully remote, flexible contract role designed for researchers and subject-matter experts who want to apply their expertise in a high-impact, forward-looking capacity — no prior AI experience required. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced biology problems with real-world scientific relevance - Apply deep expertise in genetics, biotechnology, bioinformatics, or related disciplines to design rigorous, complex problem statements - Collaborate asynchronously with AI researchers and fellow domain experts to strengthen AI model reasoning - Evaluate AI-generated scientific content for accuracy, depth, and methodological soundness - Ensure scientific rigor, clarity, and precision across all deliverables - Work independently on task-based assignments — fully on your own schedule Who You Are - Hold a Master's or PhD in Biology or a closely related field (Genetics, Molecular Biology, Bioinformatics, Biotechnology, etc.) - Possess strong expertise in one or more of: genetics, biotechnology, or bioinformatics - Comfortable coding in Python or R for research or analytical tasks - Exceptionally clear communicator — both in writing and in structuring complex scientific ideas - Detail-oriented and methodical, with a commitment to scientific accuracy - Fluent in English Nice to Have - Prior experience with data annotation, data labeling, or AI evaluation workflows - Background in peer review, academic publishing, or research quality assurance - Familiarity with AI tools or language model outputs as an end user - Experience designing problem sets, assessments, or research challenges Why Join Us - Work on cutting-edge AI projects alongside leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Make a direct, tangible impact on how AI understands and reasons through advanced biology - Contribute to AI development that could shape the future of scientific discovery - Potential for ongoing work and contract extension as new projects launch

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 — and help machines understand the most rigorous arguments the human mind can produce? We're looking for expert mathematicians with hands-on experience in formal proof systems to translate advanced mathematical reasoning into machine-verifiable Lean 4 code. This role sits at the frontier of what proof assistants can express, capture, and automate — and you'll be the one mapping that frontier. This is a fully remote, flexible contract role for mathematicians who care deeply about precision, structure, and the art of formal argumentation. - 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 correctness and clarity - Analyze proofs across domains — identifying hidden assumptions, logical gaps, and formalizable sub-structures - Construct formalizations that test and expose the limits of existing proof assistants - Collaborate with AI researchers to design and evaluate strategies for improving formal verification pipelines - Develop readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms - Guide proof decomposition, lemma selection, and structuring techniques for formal models - Investigate where automated provers break down — and articulate precisely why - Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics Who You Are - Hold a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field - 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 systems — Lean 4 strongly preferred - Thrive at the intersection of mathematics and formal computer science - Take satisfaction in translating dense, elegant human arguments into forms a machine can fully verify - Appreciate precision, structural beauty, and the challenge of resolving gaps that automated tools cannot yet bridge Nice to Have - Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools - Experience contributing to large-scale formalization projects (e.g., Mathlib) - Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding - Prior experience with data annotation, quality evaluation, or AI training workflows - Strong communication skills for articulating formalization decisions, edge cases, and proof strategies Why Join Us - Work directly on cutting-edge AI research alongside leading labs and researchers - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually rigorous work - Operate at the frontier of mechanized mathematics — pushing what formal verification can achieve - Potential for ongoing work and contract extension as new projects launch

Alignerr

Mathematics Specialist (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

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About this role · Stem

About the Role What if your years of advanced mathematical training could directly shape how AI reasons through complex problems — for millions of people around the world? We're looking for Mathematics Experts with Masters or PhD-level credentials to help build and refine the mathematical reasoning capabilities of cutting-edge AI models. This is a fully remote, flexible contract role. You'll work asynchronously alongside leading AI research teams, applying deep domain expertise to problems that genuinely push the boundaries of what AI can do. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced mathematical problems with real-world relevance - Apply your expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design rigorous and complex problem statements - Evaluate AI-generated mathematical reasoning for correctness, depth, and clarity - Collaborate asynchronously with AI researchers and domain experts to improve model performance - Ensure mathematical rigor, precision, and accessibility 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 - Deep expertise in one or more of: algebra, calculus, statistics, or discrete mathematics - Comfortable coding in Python, MATLAB, or Mathematica for research or problem-solving - Exceptionally clear written communicator — you can explain complex ideas with precision - Detail-oriented and methodical — you notice errors others miss - Fluent in English Nice to Have - Prior experience with data annotation, evaluation systems, or AI quality workflows - Background in academic research, mathematical publishing, or technical education - Familiarity with AI tools or large language model evaluation - Experience designing problem sets, exams, or instructional materials at an advanced level Why Join Us - Work on cutting-edge AI projects alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Make a direct, tangible impact on how AI understands and applies advanced mathematics - Potential for ongoing work and contract extension as new projects launch

Alignerr

Mechanical Engineering

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$35-$60/hr

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About this role · Coding

About the Role We're looking for mechanical engineers to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics to structural mechanics. This is a rare opportunity to step outside traditional engineering work and make a lasting impact on the future of artificial intelligence — all on your own schedule, from anywhere in the world. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Engineering Problems — Craft advanced, domain-specific problems across areas like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to rigorously test AI reasoning and performance - Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning, ensuring accuracy and adherence to engineering standards (ASME, ISO, etc.) - Audit AI-Generated Outputs — Evaluate AI-produced CAD logic, thermodynamic proofs, and material specifications for technical correctness, physical plausibility, and safety - Refine AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve model performance - Work Independently — Manage your own workload asynchronously with full flexibility over your schedule Who You Are - Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field - Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex technical concepts clearly and precisely in written form - Highly detail-oriented — comfortable verifying mathematical derivations, unit conversions, and physical system constraints - Self-motivated and reliable when working independently - No prior AI experience required Nice to Have - Experience with data annotation, data quality evaluation, or technical review workflows - Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS - Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and flexible — work when and where you want - Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated - Freelance autonomy: no meetings, no commute, no micromanagement - Collaborate with a global team of technical experts - Potential for ongoing work and contract extension

Alignerr

Environmental Management Scientist (AI Training)

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$30-$55/hr

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About this role · Stem

About the Role Your expertise in environmental management could help shape how the next generation of AI understands our planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making. This is a fully remote, flexible contract role where your real-world knowledge directly influences AI quality — bridging the gap between textbook theory and on-the-ground environmental practice. - 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 approaches and real-world practice - Provide clear, structured feedback to improve the accuracy and applicability of AI outputs - Flag misleading, incomplete, or technically unsound environmental content - 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 related field - Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment - Able to critically evaluate written environmental analyses and identify both technical and practical shortcomings - Comfortable providing detailed, structured written feedback - Self-motivated, reliable, and able to work independently without close supervision 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, or annotation 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 — complete tasks on your own schedule, from anywhere - Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts - Contribute to meaningful work that improves AI's ability to reason about real environmental challenges - Potential for ongoing work and contract extension as projects grow

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 looking for mechanical engineering experts to help train and improve cutting-edge AI models being developed with the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics to finite element analysis. This is a fully remote, flexible contract role. You set your own schedule and work as much or as little as fits your life. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Challenging Problems — Create advanced mechanical engineering problems across domains like FEA, heat transfer, thermodynamics, kinematics, and material science to rigorously test AI performance - Author Gold-Standard Solutions — Write clear, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation - Audit AI Reasoning — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and adherence to engineering standards (ASME, ISO, etc.) - Improve AI Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions or energy conservation violations — and provide structured feedback to sharpen 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 knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes - Able to communicate complex technical concepts and physical phenomena clearly in writing - Highly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraints - No prior AI experience required Nice to Have - Experience with data annotation, quality evaluation, or technical review workflows - Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS - Background in academic or professional technical writing Why Join Us - Work on genuinely cutting-edge AI projects alongside top research labs - Fully remote and asynchronous — work on your own schedule, from anywhere - Freelance perks: autonomy, variety, and global collaboration - Gain rare insight into how advanced large language models are built and trained - Potential for ongoing work and contract extension

Alignerr

Applied Physics

AlignerrSTEM

$40-$80/hr

Worldwide

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About the Role What if your mastery of quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing where they break the laws of physics and helping ensure they reason with the rigour of a trained scientist. This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — just deep domain expertise 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 challenging, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and mastery of core physical principles - Author Rigorous Solutions — Produce definitive, step-by-step "golden responses" with perfect physical constants, unit conversions, and airtight logical flow - Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates first principles - Refine Model Behaviour — Provide structured, expert feedback that teaches AI to respect constraints like conservation laws, boundary conditions, and dimensional analysis - Cover Foundational Topics — Work across classical mechanics, electrodynamics, statistical mechanics, quantum mechanics, and related research-level domains Who You Are - Holds a PhD (completed or near completion) 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 articulate complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure - Self-motivated and reliable when working independently on task-based assignments - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research-level problem design, academic instruction, or scientific writing - Familiarity with AI language models or large-scale model evaluation as an end user Why Join Us - Work on high-impact AI projects in collaboration with world-leading research labs - Fully remote and flexible — work when and where it suits you, on your own schedule - Freelance autonomy with the intellectual depth of meaningful, research-level work - Contribute directly to ensuring AI systems reason about the physical world with scientific integrity - Potential for ongoing work and contract extension as new projects launch

Alignerr

Mathematics Expert (Masters/PhDs)

AlignerrSTEM

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your advanced mathematical training could directly shape how AI reasons through the world's most complex problems? We're looking for Mathematics experts — Masters and PhD holders — to help build and refine AI models that tackle real, challenging mathematical problems with precision and depth. This is a fully remote, flexible contract role designed for specialists who love rigorous problem-solving. You'll work asynchronously alongside leading AI researchers to push the boundaries of what AI can reason through — from abstract algebra to applied statistics. - 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 academic rigor - Apply deep expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design complex, meaningful problem statements - Evaluate AI-generated mathematical reasoning for correctness, clarity, and logical depth - Collaborate asynchronously with AI researchers and domain experts to improve model performance - Ensure mathematical precision and thoroughness across all deliverables Who You Are - Hold a Master's or PhD in Mathematics or a closely related field - Strong command of at least one of: algebra, calculus, statistics, or discrete mathematics - Experienced with Python, MATLAB, or Mathematica for research or technical projects - Exceptionally detail-oriented with rigorous written communication skills - Comfortable working independently in a structured, asynchronous environment - Fluent in English Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with AI or machine learning research environments - Background spanning multiple mathematical disciplines - Experience communicating complex mathematical ideas clearly to non-specialist audiences Why Join Us - Work directly on cutting-edge AI projects alongside the world's leading research labs - Fully remote and asynchronous — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Make a tangible impact on how AI understands and reasons through advanced mathematics - Potential for ongoing work and contract extension as new projects launch

Alignerr

Physics Masters

AlignerrSTEM

$35-$55/hr

Worldwide

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About this role · Stem

About the Role We're partnering with the world's leading AI research labs to build smarter, more capable AI systems — and we need physicists to help make it happen. If you have a Masters in Physics (or are currently pursuing one), this is a rare opportunity to apply your expertise at the frontier of AI development, fully remote and on your own schedule. You don't need AI experience. You need the ability to think rigorously through complex physics problems — we'll handle the rest. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging, well-structured physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more - Develop clear, step-by-step solutions with rigorous logical reasoning - Evaluate AI-generated responses for scientific accuracy and quality of reasoning - Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level topics - Provide structured written feedback that directly improves how AI models reason through physics 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 - Self-motivated and comfortable working independently in an async environment - No prior AI experience required Nice to Have - Experience with data annotation, evaluation systems, or academic research - Familiarity with large language models or AI benchmarking - Background in mathematical physics or computational methods Why Join Us - Work directly with industry-leading AI labs on cutting-edge model development - Fully remote and async — work from anywhere, on your own schedule - Freelance flexibility: high autonomy, global reach, and meaningful work - Contribute to AI systems that need to reason correctly about the physical world - Potential for ongoing contract renewals and expanded project scope

Alignerr

Semiconductor Material Science (Masters/PhDs)

AlignerrSTEM / Software & Coding

$75-$90/hr

Worldwide

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About this role · Stem

About the Role What if your deep expertise in semiconductor materials or molecular modeling could directly shape how AI reasons through the most complex problems in materials science? We're looking for Materials Science specialists — Masters and PhD holders — to help train and evaluate cutting-edge AI models, ensuring they think and respond with the rigor and depth that the field demands. This is a fully remote, flexible contract role built for working researchers, academics, and industry professionals who want to contribute to frontier AI without leaving their area of expertise. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Develop, solve, and critically review advanced material science problems with real-world relevance - Apply your expertise in semiconductor materials, molecular modeling, or related areas to craft complex, rigorous problem statements - Evaluate AI-generated scientific reasoning for accuracy, depth, and methodological soundness - Collaborate asynchronously with AI researchers and domain experts to improve how AI models handle materials science concepts - Ensure scientific clarity and precision across all deliverables — from problem design to written explanations - Work independently on task-based assignments at your own pace and schedule Who You Are - Holds a Master's or PhD in Material Science, Materials Engineering, or a closely related field from a top-tier university - Strong expertise in semiconductor materials, molecular modeling, or adjacent research areas - Comfortable coding in Python or MATLAB for research or applied projects - Exceptionally clear written communicator who can explain complex concepts with precision - Detail-oriented and self-directed — you hold your work to a high standard without needing oversight - Fluent in English Nice to Have - Prior experience with data annotation, evaluation systems, or AI training workflows - Background in computational materials science, DFT, or atomistic simulation - Experience reviewing or publishing peer-reviewed scientific work - Familiarity with AI tools or large language model evaluation as an end user Why Join Us - Work on frontier AI projects alongside world-leading research labs - Fully remote and asynchronous — work on your schedule, from anywhere - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Make a direct, tangible impact on how AI understands and reasons through materials science - Potential for ongoing work and contract extension as new projects launch

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