Automotive AI Validation Engineer - Part-Time

Mindrift; New York (NY); On-site; USD 63,000 - 89,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for automotive engineering evaluation and validation.

This part-time, non-permanent work is remote in the United States, with typical pay up to $55 per hour and 10–20 hours per week during active phases. Candidates should have a degree in automotive engineering, 3+ years of experience, and strong Python skills. Projects involve testing AI, validating results with NumPy/SciPy/Pandas, and ensuring adherence to first principles.

Qualifications

• Degree in Automotive Engineering or related fields.
• 3+ years of professional automotive engineering experience.
• Strong written English (C1/C2).
• Strong Python proficiency for numerical validation.
• Stable internet connection.

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.

Skills

Python

Automotive Eng

NumPy/SciPy/Pandas

English Proficiency

Education

Degree in Automotive Engineering

Job description

Mindrift connects specialists with project-based AI opportunities for automotive engineering evaluation and validation.

This part-time, non-permanent work is remote in the United States, with typical pay up to $55 per hour and 10–20 hours per week during active phases. Candidates should have a degree in automotive engineering, 3+ years of experience, and strong Python skills. Projects involve testing AI, validating results with NumPy/SciPy/Pandas, and ensuring adherence to first principles.