Design, build, and refine MuJoCo simulation environments that train AI systems to perform real-world robotic tasks — from locomotion and dexterous manipulation to multi-agent coordination. Work includes wrangling MJCF files, tuning reward functions, and debugging contact dynamics for reinforcement learning pipelines.
Review and audit physics research outputs for technical errors and quality to ensure high-accuracy AI training data.
Apply high-level scientific judgment and cross-disciplinary perspective to adjudicate physics research outputs for AI training quality.
Use mechanical engineering expertise to create and review technical content that improves AI reasoning on design and physical systems.
Contribute biology research expertise to create and review scientific content that improves AI reasoning on life sciences.
Contribute advanced mathematical research expertise to develop, evaluate, and improve AI reasoning capabilities on complex mathematical problems and proofs.
Apply engineering and built environment expertise to evaluate AI-generated technical content, designs, and analyses for accuracy and professional standards.
Leverage PhD-level physics knowledge to evaluate, write, and improve AI-generated physics content, problems, and reasoning trajectories.
Apply advanced physics expertise in quantum mechanics, electrodynamics, and classical mechanics to evaluate and improve AI reasoning on complex physics problems.
Evaluate AI-generated mechanical engineering content for technical accuracy, design correctness, and alignment with mechanical engineering principles.
Lead quality assurance for AI-generated electrical engineering content, reviewing circuit design accuracy, systems knowledge, and technical standards.
Evaluate AI-generated chemical engineering content for technical accuracy, process correctness, and alignment with chemical engineering principles.
Review AI-generated civil engineering content for technical accuracy, code compliance, and alignment with engineering principles and standards.
Evaluate AI-generated biomedical engineering content for technical accuracy, clinical relevance, and adherence to biomedical standards.
Review AI-generated chemistry content for scientific accuracy, chemical correctness, and alignment with current chemistry research and standards.
Evaluate AI-generated biology content for scientific accuracy, research methodology soundness, and alignment with current biological knowledge.
Review AI-generated mathematics content and solutions for correctness, rigor, and clarity across quantitative and theoretical math tasks.
Evaluate AI-generated astronomy and astrophysics content for scientific accuracy and research quality as a Quality Assurance Lead.
Review AI-generated geology content for scientific accuracy, technical correctness, and alignment with current geoscience knowledge.
Review AI-generated neuroscience content and research outputs for scientific accuracy, clinical relevance, and methodological soundness.
Review and evaluate AI-generated physics content and solutions, ensuring scientific accuracy and reasoning quality across quantitative and conceptual tasks.
Apply multi-domain engineering expertise to evaluate and improve AI outputs across engineering disciplines and technical communication.
Produce and review 2D and 3D CAD drawings using AutoCAD to train AI on drafting and technical design tasks.
Create and validate mechanical designs using Autodesk Inventor to support AI training on 3D mechanical CAD workflows.
Apply STEM domain expertise to evaluate AI outputs on technical problem-solving, analytical thinking, and scientific accuracy.
Apply energy and utilities domain expertise to evaluate AI outputs on regulatory compliance, infrastructure, and risk management.
Apply chemistry expertise to analyze scientific documents and solve analytical reasoning problems for AI training datasets.
Conduct physics research analysis and produce scientific writing to support AI training on physics comprehension and critical thinking.
Analyze biological data, create assessment questions, and review scientific literature to train AI on biology reasoning.
Analyze technical documents and solve mechanical engineering problems to improve AI reasoning on engineering workflows.
Execute deep physics research and solve specialized subfield problems to train AI on expert-level scientific reasoning.
Solve advanced physics problems using LaTeX, SymPy, and Python to train AI on graduate-level physics reasoning and computation.
Perform geospatial data analysis and visualization using QGIS to train AI on spatial reasoning and mapping tasks.
Conduct advanced geospatial analysis, mapping, and data processing using QGIS to improve AI geospatial reasoning.
Design and review BIM and IFC models using FreeCAD and AutoCAD to support AI training on architectural and engineering workflows.
Create and review architectural and BIM designs using Vectorworks and AutoCAD to train AI on CAD workflows.
Analyze biological data using Python, R, and Bash to support AI training in bioinformatics and computational biology.
Run molecular simulations and computational chemistry workflows in Python to train AI on chemical modeling tasks.
Solve computational physics problems using scientific computing tools and Python to improve AI reasoning on physics simulations.
Apply CFD, FEA, and MATLAB skills to solve computational engineering problems and support AI training in engineering simulations.
Perform geospatial analysis and mapping tasks using QGIS to train AI on geography and spatial data workflows.
Design and validate printed circuit boards using DesignSpark to support AI training in electronics engineering tasks.
Apply PhD-level biology expertise to generate and evaluate life sciences training data for AI models.
PhD-level STEM experts to generate and evaluate advanced scientific content for AI training datasets.
Provide specialized expertise in semiconductor, ASIC, and RFIC design to evaluate AI on electrical engineering tasks.
Apply PhD-level STEM expertise to generate and evaluate advanced technical training data across scientific domains.
Apply advanced physics research expertise to evaluate and generate training data for AI science models.
Apply biology research expertise to evaluate and train AI models on life sciences topics and experimental design.
Write detailed reasoning trajectories for frontier physics problems to train AI on advanced scientific reasoning.
Build dashboards and data models using Metabase and SQL for analytics insights.
Provide STEM subject-matter expertise for curriculum development and analysis.
Design parametric 3D models using OpenSCAD and AutoCAD with computational syntax.
Provide STEM subject-matter expertise for curriculum development and data analysis.
Apply statistics, mathematics, and data science methods to solve business problems.
Perform circuit simulation and PCB layout using LTspice and related electronics tools.
Design printed circuit boards and run circuit simulations using DesignSpark PCB software.
Solve advanced mathematical problems to improve reasoning capabilities of AI systems.
Evaluate machine learning systems through benchmarking and improve model performance using real-world datasets.
Support AI model validation with physics-based datasets and analysis.
Solve and validate mathematical problems to improve AI reasoning capabilities.
Support chemical data validation tasks for AI systems.
Assist in validating biological datasets for AI training and research.
Validate physics-based AI outputs and improve scientific model accuracy.
Support AI training by validating chemical data and scientific accuracy.
Provide biological expertise to validate AI-generated scientific data.
Provide engineering expertise to improve AI systems handling mechanical and technical data.
Solve complex mathematical problems and validate AI-generated outputs for accuracy.
Remote Meteorologist position through Micro1's talent platform. Work on impactful projects utilizing modern methodologies. Competitive hourly rate of $30-$60/hr.
Conduct advanced mathematical research and reasoning to support AI evaluation.
Provide advanced academic expertise across science and mathematics domains.
Apply mechanical engineering expertise to manufacturing and AI-related workflows.
Analyze data and develop insights using Python and data science methodologies.
Support AI model development using biology domain knowledge combined with Python programming.
Apply chemistry expertise and Python programming to scientific AI evaluation and model training tasks.
Freelance opportunity for physics experts with Python experience. Help train AI on physics topics by generating and reviewing calculations, derivations, and conceptual explanations.
Remote freelance role for math experts who also use Python. Create and validate math problems, solutions, and reasoning chains to support AI training in quantitative topics.
Freelance opportunity for electrical engineering professionals with Python skills. Contribute to AI training by crafting and validating technical content, scenarios, and problem-solving steps.
Remote freelance role for civil engineering experts with Python knowledge. Help train AI on civil engineering topics, calculations, and applied reasoning, sometimes using code-based workflows.
Freelance role for chemistry specialists who can also work with Python. Support AI training and evaluation by generating and validating chemistry questions, explanations, and workflows.
Freelance role for biology experts with Python skills to contribute to AI training projects. Create and review biology-related content, datasets, and reasoning tasks, sometimes involving code or data handling.
Seeking generalist Math Reasoning Experts to create and refine high‑quality questions in causal inference and experimental design, ensuring rigor and accuracy in evaluating AI models.
Seeking PhD-level Mathematician to develop, review, and refine advanced questions in causal inference and experimental design, ensuring the highest standards of rigor and accuracy in evaluating AI.
Seeking generalist Physics Reasoning Experts to create and refine high-quality questions across fundamental and applied physics topics, ensuring rigor and accuracy in evaluating AI models.
Seeking PhD-level Physicist to develop, review, and refine advanced questions across specialized areas of physics, ensuring the highest standards of rigor and accuracy in evaluating AI models.
Seeking generalist Biology Reasoning Experts to create and refine high-quality questions across a broad range of biological topics, ensuring rigor and accuracy in evaluating AI models.
Seeking PhD-level Biologists to develop, review, and refine advanced questions across specialized areas of biology, ensuring the highest standards of rigor and accuracy in evaluating AI models.
Seeking generalist Chemistry Reasoning Experts to create and refine high-quality questions across a broad range of Chemistry topics, ensuring rigor and accuracy in evaluating AI models.
Seeking PhD-level Chemists to develop, review, and refine advanced questions across specialized areas of chemistry, ensuring the highest standards of rigor and accuracy in evaluating AI models.
Seeking generalist Statistics Reasoning Experts to create and refine high-quality questions in causal inference and experimental design, ensuring rigor and accuracy in evaluating AI models.
Enhance AI understanding of chemistry through expert tutoring. Develop problems in organic synthesis, reaction mechanisms, and molecular modeling.
Train AI models on advanced physics concepts. Create challenging problems in classical mechanics, electromagnetism, quantum physics, and thermodynamics.
In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and english comprehension skills
Analyze and explain the steps in a complex organic reaction mechanism, providing both textual explanations and annotated chemical structures.
Design and solve challenging math problems to probe the limitations of large language models.
Design and solve challenging Physics problems to probe the limitations of large language models.
Load more · 90 remaining Your STEM expertise is essential for training advanced artificial intelligence systems. AI models rely heavily on subject-matter experts in physics, chemistry, biology, mathematics, and engineering to validate complex reasoning, solve scientific problems, and correct inaccurate outputs. STEM professionals are required in AI training projects to evaluate equations, review technical explanations, test scientific logic, and ensure models reason accurately across real-world scenarios.
STEM AI training jobs convert your academic or industry knowledge into high-paying remote AI freelance work. Instead of traditional research or engineering roles, STEM experts now work directly on large language model training, scientific AI evaluation, and domain-specific AI projects. These STEM AI projects offer flexible schedules, global access, and premium compensation, making them ideal for PhDs, master's graduates, engineers, and advanced students looking to build a long-term AI career.
Live stem projects on PARA AI Labs currently pay between $15/hr and $500/hr, with rates listed upfront on every listing. Specialist experience earns the upper end of the range.
Alignerr, Micro1, Mercor, SME Careers, Turing and others currently list stem projects through PARA AI Labs. Each Apply link goes directly to the hiring platform.
Click Apply on any project below — you'll go straight to the source platform's application, with no middlemen and no fees. Most platforms ask for a short skills assessment before matching you to paid work.
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