This is a freelance AI Trainer role at Mindrift focused on testing, evaluating, and improving AI systems for leading tech companies. The work involves designing mechanical engineering problems, evaluating AI-generated solutions, and validating results using Python. Participation is project-based, not permanent employment.
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
- Up to $50 per hour equivalent, depending on level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
Work Mode
- Global, remote role.
- Part-time, project-based. Estimated 10–20 hours per week during active project phases. Workload is an estimate, not guaranteed.
