Postdoctoral Research Scientist - STEM (Remote | $80-$150/hr)
| Verified Pay check_circle | Provided by the employer$80-$150 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | United, West Virginia |
About this job
Job Description
STEM Expert
\nPosition: STEM Expert
\nType: Contractor
\nCompensation: $80–$150/hour
\nLocation: Global, Fully Remote
\nAbout the Opportunity
\nWe are seeking experienced STEM and Scientific Experts to support an AI training project focused on technical problem-solving, scientific reasoning, data analysis, and Python-based workflows.
\nYou’ll solve, review, and validate challenging problems within your area of expertise, evaluate AI-generated solutions, and develop rigorous reference answers. This is a coding-heavy role, and candidates must have experience using Python and coding agents in their workflow.
\nExpertise in at least one STEM discipline is sufficient; candidates are not expected to cover every scientific field.
\nKey Responsibilities
\n- \n
- Solve complex scientific, mathematical, or technical problems within your domain. \n
- Review AI-generated solutions for scientific, mathematical, and factual accuracy. \n
- Identify reasoning errors, incorrect assumptions, missing constraints, and technical mistakes. \n
- Develop clear and reproducible reference solutions. \n
- Use Python for scientific computation, data analysis, simulations, and validation. \n
- Interpret equations, datasets, experimental results, technical diagrams, and scientific literature where relevant. \n
- Perform sanity checks and validate analytical or numerical results. \n
- Clearly explain technical reasoning, corrections, and conclusions. \n
Required Qualifications
\n- \n
- Strong expertise in at least one relevant STEM or scientific domain, such as Biology, Chemistry, Mathematics, Physics, Earth/Environmental Science, or Robotics. \n
- Practical proficiency with Python and coding agents. \n
- Strong scientific, mathematical, or quantitative problem-solving skills. \n
- Ability to evaluate assumptions, constraints, edge cases, and sources of error. \n
- Experience validating, reviewing, or troubleshooting technical work. \n
- Ability to communicate complex technical concepts clearly. \n
Preferred Qualifications
\n- \n
- Experience with scientific Python tools such as NumPy, SciPy, pandas, SymPy, or Jupyter. \n
- Background in academic research, industry, teaching, engineering, or independent technical work. \n
- Experience evaluating AI-generated technical or scientific outputs. \n
Compensation
\n- \n
- Competitive compensation of $80–$150/hour. \n
- Output-based compensation, with payment per task that meets project specifications. \n
- Approximately 15 hours per week with a flexible schedule. \n
- Experts can choose their working hours and days, including weekends. \n
- 10 positions available. \n
Application Process
\n- \n
- Submit your application and complete the screening questions. \n
- Complete an approximately 30-minute AI interview. \n
- Complete the hiring manager review. \n
- Complete onboarding and begin project work if selected. \n