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Das ist der Job
Please submit your CV in English and indicate your level of English proficiency.
Darum lohnt es sich
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.
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 This opportunity is a good fit for automotive engineers with experience in Python and is open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Automotive Engineering or related fields, e.g.
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 $50/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 #J-18808-Ljbffr
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