Job Description: STEM Expert
Role Type: Contractor Location: Global – Fully Remote
About the Role
We are seeking highly skilled STEM and scientific-domain experts to contribute to an AI training and evaluation project focused on technical problem-solving, scientific reasoning, data analysis, and Python programming.
In this role, you will solve, review, and validate challenging problems within your area of expertise. You will analyze scientific or mathematical problems, develop rigorous solutions, use Python for calculations or simulations, and evaluate the technical accuracy of AI-generated answers.
This is a highly coding-intensive role. Candidates must have hands-on experience using coding agents as part of their workflow.
Candidates are not expected to have expertise across every STEM discipline. Deep knowledge in at least one relevant area is required.
Areas of Expertise
- Chemistry
- Biology
- Mathematics
- Physics
- Earth Science, Geoscience, or Environmental Science
- Robotics
- Other relevant scientific or quantitative disciplines
Key Responsibilities
- Solve complex scientific, mathematical, and technical problems within your area of expertise.
- Review AI-generated solutions for factual, mathematical, and scientific accuracy.
- Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
- Develop rigorous, well-explained solutions using scientific reasoning and quantitative methods.
- Use Python or other programming languages to perform calculations, simulations, and data analysis.
- Validate technical outputs and ensure solutions meet established accuracy standards.
Required Qualifications
- Strong expertise in at least one relevant STEM or scientific domain.
- Practical proficiency in Python or other programming languages.
- Hands-on experience using coding agents in technical workflows.
- Strong scientific, mathematical, and quantitative problem-solving abilities.
- Ability to analyze complex problems and evaluate technical solutions accurately.
Relevant Python tools may include NumPy, SciPy, pandas, SymPy, Jupyter, and domain-specific scientific libraries. No particular Python library is mandatory.
Expertise may come from academic research, industry experience, teaching, engineering, independent technical work, or other demonstrated professional or research activities. A specific degree or minimum number of years of experience is not required if strong subject-matter expertise can be demonstrated.
Work Structure
- Approximately 15 hours per week.
- Flexible schedule with the freedom to choose working days and hours, including weekends.
- Contractor engagement.
- Global, fully remote opportunity.
Originally posted on Himalayas
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