Automotive Engineer with Python Experience
Pubblicato il 24-10-2026 - Mindrift in Bologna
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
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 experience in Python open to tempo parziale, 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 $33/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