Mechanical Engineer with Python - Freelance AI Trainer

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 $20/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