STEM Expert

Web Spiders Group is currently hiring STEM Experts for an exciting remote contract opportunity supporting AI training and evaluation.

Were looking for professionals with strong expertise in areas such as Mathematics, Physics, Chemistry, Biology, Robotics, Earth/Environmental Science, Linguistics, and related STEM disciplines.

Compensation: $50$100/hour
Fully Remote | Flexible Hours | ~15 hours/week.

View Job Details & Apply - https://jobs.micro1.ai/post/46d40ceb-c9b5-4b76-a595-6d74ecf7107e?referralCode=1b27de8b-30e7-4236-9aa4-e8f1a6383fa1&utm_source=chatgpt.com&utm_medium=share&utm_campaign=job_referral

Prior AI experience is not mandatory were primarily looking for strong subject-matter expertise.

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.

What Youll Work On -

1. Solve complex scientific, mathematical, or technical problems within your domain of expertise.
2. Review AI-generated solutions for factual, mathematical, and scientific correctness.
3. Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
4. Develop clear and reproducible reference solutions.
5. UsePythonfor scientific computation, data analysis, simulations, or solution validation.
6. Interpret equations, experimental results, datasets, technical diagrams, or scientific literature where relevant.
7. Perform sanity checks and validate numerical or analytical results.
8. Compare alternative solution approaches and determine whether conclusions are supported by the evidence.
9. Clearly explain technical reasoning and corrections.

Required Qualifications -

1. Strong expertise in at least one relevant STEM or scientific domain.
2. Practical proficiency with Python.
3. Strong scientific, mathematical, or quantitative problem-solving ability.
4. Ability to reason carefully about assumptions, constraints, edge cases, and sources of error.
5. Ability to explain complex technical concepts and solutions clearly.
6. 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.