Automotive AI Validation Engineer-Part-Time, Project-Based

Mindrift; Dallas (TX); On-site; USD 63,000 - 89,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This engagement is project-based, not permanent employment.

Role involves designing automotive engineering problems, evaluating AI solutions, and validating results using Python tools. Ideal candidates hold an automotive engineering degree with 3+ years of experience and excellent English, ready for part-time, non-permanent projects.

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 proficiency

Automotive engineering experience

English (C1/C2)

Education

Degree in Automotive Engineering or related fields

Tools

NumPy

SciPy

Pandas

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This engagement is project-based, not permanent employment.

Role involves designing automotive engineering problems, evaluating AI solutions, and validating results using Python tools. Ideal candidates hold an automotive engineering degree with 3+ years of experience and excellent English, ready for part-time, non-permanent projects.