Automotive Engineering & Python Expert - Freelance AI Trainer

March 30, 2026
Closed
Closed
Location
Vietnam
Occupation
Part-time
Experience level
Mid-level
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Job Summary

Mindrift offers remote, project-based participation for automotive engineering specialists to help test, evaluate, and improve AI systems for leading tech companies. Contributors may design real-world engineering problems, assess AI-generated solutions, and validate analytical results using Python. Weekly commitment during active projects is estimated at 10–20 hours, compensated up to $40 per hour. Participation is not permanent employment and workload may vary by project.

Ideal candidates hold a degree in Automotive or related Engineering fields, have 3+ years of industry experience, and are proficient in Python (NumPy, SciPy, Pandas). Strong written English (C1/C2) and a reliable internet connection are essential. Certifications like PE, CEng, or PMP, and experience in industry or international projects are advantages.

Contributors join by passing qualifications and are paid based on their contribution per project. Earning levels may differ across various projects on the platform. Please submit your CV in English and indicate your English proficiency level when applying.

Highlight
Highlight

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 an 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.

Compensation

On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply now
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Mindrift
Welcome to Mindrift — a space where innovation meets opportunity. We're a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let's build the future of AI together, one task at a time.
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Information Technology & Services
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