[Hiring] Automotive Engineer (Python) - Freelance AI Trainer @Mindrift

Role Description

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.

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.

Qualifications

• 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.

Requirements

This opportunity is a good fit for automotive engineers with experience in Python open to part-time, non-permanent projects.

Benefits

• Compensation of up to $13 per hour equivalent, depending on level and pace of contribution.
• Compensation varies across projects depending on scope, complexity, and required expertise.
• Note that other projects on the platform may offer different earning levels based on their requirements.

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.