Key skills
Automotive EngineeringPythonProfessional certificationsEnglish proficiencyAnalytical skillsProblem solvingAIPandasNumPyProblem Solving
About this role
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This role involves designing automotive engineering problems, evaluating AI-generated solutions, and validating results using Python.
Responsibilities:
- 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
Requirements:
- 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)
- Experience in international or applied projects