STEM Expert

Responsibilities

• Solve complex scientific, mathematical, or technical problems within the contributor's domain of expertise.
• Review AI-generated solutions for factual, mathematical, scientific, and technical correctness.
• Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes in proposed solutions.
• Develop clear, rigorous, and reproducible reference solutions for challenging STEM problems.
• Use Python for scientific computation, data analysis, simulations, calculations, and solution validation.
• Interpret equations, experimental results, datasets, technical diagrams, and scientific literature where relevant.
• Perform sanity checks and validate numerical, analytical, and scientific results.
• Compare alternative solution approaches and determine whether conclusions are supported by available evidence.
• Clearly document technical reasoning, corrections, and recommendations.

Skills

Requirements

• Strong expertise in at least one relevant STEM or scientific domain.
• Relevant domains may include chemistry, biology, mathematics, physics, earth science, geoscience, environmental science, linguistics, computational linguistics, robotics, or an adjacent scientific or quantitative discipline.
• Practical proficiency with Python.
• Strong scientific, mathematical, or quantitative problem-solving ability.
• Ability to reason carefully about assumptions, constraints, edge cases, and potential sources of error.
• Ability to explain complex technical concepts and solutions clearly.
• Experience validating, reviewing, or troubleshooting scientific or technical work.
• Ability to use Python for calculations, simulations, data analysis, or validation where appropriate.
• Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated experience.
• No specific degree or number of years of professional experience is required when strong domain expertise can be demonstrated.
• Availability of approximately 15 hours per week.
• Ability to complete an AI interview and hiring manager review as part of the selection process.

Benefits

• Global fully remote contractor opportunity.
• $50–$100 hourly compensation.
• Flexible schedule with contributors able to choose their working hours and days.
• Opportunity to apply specialized STEM expertise to next-generation AI training and evaluation.
• Hands-on work involving scientific reasoning, technical problem-solving, Python, and AI output evaluation.
• Candidates only need deep expertise in at least one relevant STEM discipline rather than expertise across all listed fields.
• Potential to begin project work within 24–48 hours after completing onboarding if selected.