This is a Freelance AI Trainer role at Mindrift, focused on testing, evaluating, and improving AI systems for leading tech companies. Contributors work on project-based tasks involving the creation and validation of mechanical engineering problems and AI-generated solutions. This is not permanent employment but project-based participation.
What You'll Do
- Design graduate- and industry-level mechanical engineering problems grounded in real practice.
- Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.
- Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).
- Improve AI reasoning to align with first principles and accepted engineering standards.
- Apply structured scoring criteria to assess multi-step problem solving.
What We're Looking For
- Degree in Mechanical Engineering or related fields (e.g., Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics)
- 3+ years of professional mechanical engineering experience
- Strong written English (C1/C2)
- Strong Python proficiency for numerical validation
- Stable internet connection
Nice to Have
- Professional certifications (e.g., PE, CEng, PMP)
- Experience in international or applied projects
Technical Stack
- Python
- NumPy
- SciPy
- Pandas
Benefits & Compensation
- Compensation: Up to $50 per hour equivalent
- Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels.
Work Mode
- Type: Global
- Flexibility: Part-time, project-based. Estimated 10–20 hours per week during active phases (estimate, not guaranteed).
Mindrift provides equal opportunities. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
