Freelance Automotive Engineer with Python Experience - AI Trainer

February 2, 2026
Open
Open
USD $40 / hour
Location
Vietnam
Occupation
Part-time
Experience level
Mid-level
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Job Summary

Mindrift offers remote, project-based opportunities for specialists to contribute to the advancement of AI systems for major tech companies. Contributors design and evaluate graduate-level automotive engineering problems, validate AI-generated solutions using Python (NumPy, SciPy, Pandas), and assess multi-step reasoning to improve AI alignment with engineering standards. This flexible role pays up to $40/hour, with variable rates and incentive options based on expertise and project type.

Candidates should have a degree in Automotive Engineering or related fields and 3+ years of professional experience. Advanced written English skills (C1/C2) and strong Python proficiency are essential. International project experience or professional certifications are advantageous. Contributors need a stable internet connection and must be open to part-time, variable workloads.

Workload ranges from 10–20 hours per week during active phases, and payment is issued per task or project. Applications require a CV in English and self-assessment of English proficiency. Mindrift’s process involves qualification steps before joining projects.

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 isproject-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.

Payment

  • Paid contributions, with rates up to $40/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.

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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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Company size
1,001-5,000
Founded in
Industry
Information Technology & Services
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