STEM Expert Pay: $60–$120/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 tec
About the role
STEM Expert
Pay: $60–$120/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.
This is a very coding heavy role. Candidates but have experience using coding agents in their workflow.
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
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.
Required Qualifications
Strong expertise in at least one relevant STEM or scientific domain .
Practical proficiency with Python or other coding languages .
Strong scientific, mathematical, or quantitative problem-solving ability.
Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter , or domain-specific scientific libraries. No particular Python library is mandatory. …
Official source: www.jtlabs.ai. Details can change; the platform's page is the final word. How we check listings.
