STEM Expert

• Hardware Expert Pay: $50–$100/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project involving technical problem-solving, scientific reasoning, data analysis, and Python
• The work involves solving, reviewing, and validating challenging problems within your area of expertise
• A representative task may require analyzing a scientific or mathematical problem, developing a rigorous solution, using Python to perform calculations or simulations, and evaluating whether an AI-generated answer is technically correct
• Candidates are not expected to be experts across every STEM discipline
• We are looking for deep expertise in at least one of the following areas: Chemistry Biology Mathematics Physics Earth Science / Geoscience / Environmental Science Linguistics / Computational Linguistics Robotics Adjacent scientific or quantitative disciplines may also be considered where the candidate's expertise is directly relevant
• What You’ll Work On Solve complex scientific, mathematical, or technical problems within your domain of expertise
• Review AI-generated solutions for factual, mathematical, and scientific correctness
• Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes
• Develop clear and reproducible reference solutions
• Use Python for scientific computation, data analysis, simulations, or solution validation
• Interpret equations, experimental results, datasets, technical diagrams, or scientific literature where relevant
• Perform sanity checks and validate numerical or analytical results
• Compare alternative solution approaches and determine whether conclusions are supported by the evidence
• Clearly explain technical reasoning and corrections
• Required Qualifications Strong expertise in at least one relevant STEM or scientific domain
• Practical proficiency with Python
• Strong scientific, mathematical, or quantitative problem-solving ability
• Ability to reason carefully about assumptions, constraints, edge cases, and sources of error
• Ability to explain complex technical concepts and solutions clearly
• Experience validating, reviewing, or troubleshooting technical work
• Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter , or domain-specific scientific libraries
• No particular Python library is mandatory
• Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience
• A specific degree or number of years of experience is not strictly required if you can demonstrate strong expertise in your field
• Process Apply to the role and complete the screening questions
• Complete an AI interview of approximately 30 minutes
• Complete the hiring manager review
• Compensation Structure Compensation is output-based
• Experts are paid per task that meets the project specifications
• The time required to complete each task may vary depending on the expert’s experience and workflow
• Minimum submission

requirements