STEM Expert

ESRhealthcare and EXEC STAFF RECRUITERS • Nyc, NY

12d • Remote

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: No Education Listed