Job Description:
STEM Expert
STEM Expert
$50 - $100/hour
pay
Required Skills
Biology
Pay: $50–$100/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.
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.
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.
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.
Required Qualifications
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.