Automotive Engineer with Python Experience - 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 is project-based, not permanent employment.

What This Opportunity Involves

While each project involves unique tasks, contributors may:

• Design graduate- and industry-level automotive 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 automotive engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc.
• 3+ years of professional automotive 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 $33/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