Freelance Mechanical Engineering & Python Expert - ai Trainer H/F Mindrift

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

- 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 look for

This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

- Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc.
- 3+ years of professional mechanical engineering experience
- Strong written English (C1/C2)
- Strong Python proficiency for numerical validation
- Stable internet connection

Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Payment

- Paid contributions, with rates up to $50/hour*
- Fixed project rate or individual rates, depending on the project
- Some projects include incentive payments

*Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.