STEM Expert Position: STEM Expert Type: Contractor Compensation: $80–$150/hour

Location:
Global, Fully Remote About the Opportunity We are seeking experienced STEM and Scientific Experts to support an AI training project focused on technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. You’ll solve, review, and validate challenging problems within your area of expertise, evaluate AI-generated solutions, and develop rigorous reference answers. This is a coding-heavy role, and candidates must have experience using Python and coding agents in their workflow. Expertise in at least one STEM discipline is sufficient; candidates are not expected to cover every scientific field.

Key Responsibilities
• Solve complex scientific, mathematical, or technical problems within your domain.
• Review AI-generated solutions for scientific, mathematical, and factual accuracy.
• Identify reasoning errors, incorrect assumptions, missing constraints, and technical mistakes.
• Develop transparent and reproducible reference solutions.
• Use Python for scientific computation, data analysis, simulations, and validation.
• Interpret equations, datasets, experimental results, technical diagrams, and scientific literature where relevant.
• Perform sanity checks and validate analytical or numerical results.
• Clearly explain technical reasoning, corrections, and conclusions. Required Qualifications




• Strong expertise in at least one relevant STEM or scientific domain, such as Biology, Chemistry, Mathematics, Physics, Earth/Environmental Science, or Robotics.
• Practical proficiency with Python and coding agents.
• Strong scientific, mathematical, or quantitative problem-solving skills.
• Ability to evaluate assumptions, constraints, edge cases, and sources of error.
• Experience validating, reviewing, or troubleshooting technical work.
• Ability to communicate complex technical concepts clearly. Preferred Qualifications
• Experience with scientific Python tools such as NumPy, SciPy, pandas, SymPy, or Jupyter.
• Background in academic research, industry, teaching, engineering, or independent technical work.
• Experience evaluating AI-generated technical or scientific outputs. Compensation
• Competitive compensation of $80–$150/hour.
• Output-based compensation, with payment per task that meets project specifications.
• Approximately 15 hours per week with a flexible schedule.
• Experts can choose their

working hours
and days, including weekends.
• 10 positions available. Application Process
• Submit your application and complete the screening questions.
• Complete an approximately 30-minute AI interview.
• Complete the hiring manager review.
• Complete onboarding and begin project work if selected.

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