Automotive AI Engineer — Python Validation (Part-Time)

Mindrift; Wisconsin; On-site; USD 55,000 - 76,000; Full time

Job summary

Mindrift connects automotive engineers with project-based AI opportunities to test, evaluate, and improve AI systems used in real-world automotive contexts.

This role involves designing practical problems, evaluating AI-generated solutions for correctness, and validating results using Python with NumPy, SciPy, and Pandas. It is a project-based engagement, not permanent employment, with hourly pay and flexible hours.

Qualifications

• Bachelor's degree in Automotive Engineering or related fields.
• At least 3 years of professional automotive engineering experience.
• Fluent written English (C1/C2).
• Proficient in Python for numerical validation; experience with NumPy, SciPy, Pandas is a plus.
• 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 results using Python tools.
• Improve AI reasoning to align with first principles and standards.
• Apply structured scoring criteria to assess multi-step problem solving.

Skills

Strong written English

Analytical thinking

Education

Degree in Automotive Engineering or related fields

Tools

Python

NumPy

SciPy

Pandas

Job description

Mindrift connects automotive engineers with project-based AI opportunities to test, evaluate, and improve AI systems used in real-world automotive contexts.

This role involves designing practical problems, evaluating AI-generated solutions for correctness, and validating results using Python with NumPy, SciPy, and Pandas. It is a project-based engagement, not permanent employment, with hourly pay and flexible hours.