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Automotive engineer with python - freelance ai trainer

Gold Coast
Independant
Mindrift
Instructor
Posted: 13 March
Offer description

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

* 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

* 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 $38/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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