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 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