Automotive Engineering & Python Expert – Freelance AI Trainer

Mindrift; Arizona; On-site; USD 63,000 - 89,000; Part time

Job summary

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

Responsibilities include designing automotive engineering problems, evaluating AI-generated solutions, and validating results in Python (NumPy, SciPy, Pandas). Projects require strong English writing and a solid internet connection, with rates up to $55/hour and 10–20 hours per week

Qualifications

• Degree in Automotive Engineering or related field (e.g. Mechatronics, Manufacturing, Mechanical, Aerospace).
• 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

Strong English (C1/C2)

Automotive engineering experience

Problem solving

Education

Bachelor's degree in Automotive Engineering or related field

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. Participation is project-based, not permanent employment.

What This Opportunity Involves

• 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 an experience in python open to part-time, 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.

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 $55/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