STEM Expert
Global | Fully Remote | Contractor | $50–$100/hour
Annualized Equivalent: $104,000–$208,000/year based on 40 hours/week
About the Role
We are looking for highly skilled STEM and scientific-domain experts to contribute to an AI training project focused on technical problem-solving, scientific reasoning, data analysis, and Python.
You will solve, review, and validate challenging problems within your area of expertise. Tasks may involve analyzing scientific or mathematical problems, developing rigorous solutions, using Python for calculations or simulations, and evaluating whether AI-generated answers are technically correct.
You do not need to be an expert across every STEM discipline. We are looking for deep expertise in at least one relevant scientific or quantitative field.
Expertise in the following areas is particularly relevant:
Chemistry
Biology
Mathematics
Physics
Earth Science / Geoscience / Environmental Science
Linguistics / Computational Linguistics
Robotics
Adjacent scientific or quantitative disciplines may also be considered where your 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, corrections, and conclusions.
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.
Your 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.
Work Schedule
This is a fully remote contractor opportunity with approximately 15 hours per week.
The schedule is flexible, allowing you to choose the hours and days you work, including weekends if desired.
Compensation
The compensation range is $50–$100/hour, with an annualized equivalent of $104,000–$208,000/year based on 40 hours per week.
Compensation is output-based. Experts are paid per task that meets the project specifications, and the time required to complete each task may vary depending on the expert’s experience and workflow.
Minimum submission requirements apply.
Selection Process
The process includes:
Apply to the role and complete the screening questions.
Complete an AI interview of approximately 30 minutes.
Complete the hiring manager review.
Start Timeline & Availability
Roles are typically filled within 48 hours, and we are looking for experts who are ready to begin immediately.
If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.
Ideal Candidate
This opportunity is suited to STEM and scientific professionals who can apply deep subject-matter expertise to challenging technical problems, critically evaluate AI-generated work, validate solutions, and communicate complex reasoning clearly.
If you have demonstrated expertise in a relevant scientific or quantitative discipline and practical Python skills, you can bring your specialized knowledge directly into AI training, technical problem-solving, and scientific evaluation work.