Mechanical Engineer for AI Systems Testing (Part-Time)

Mindrift; Dallas (TX); On-site; USD 45,000 - 76,000; 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 is a project-based, non-permanent role.

Contributors may design engineering problems, evaluate AI-generated solutions, validate results with Python, and apply structured scoring to multi-step problems. 10–20 hours/week during active phases, with compensation up to $55/hour.

Qualifications

• 3+ years of professional mechanical engineering experience.
• Strong written English (C1/C2).
• Strong Python proficiency for numerical validation.
• Degree in Mechanical Engineering or related fields.
• Certifications (PE, CEng, PMP) are an advantage.

Responsibilities

• Design graduate- and industry-level mechanical 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.

Education

3+ years of mechanical engineering experience

Degree in Mechanical Engineering or related fields

Tools

Python

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This is a project-based, non-permanent role.

Contributors may design engineering problems, evaluate AI-generated solutions, validate results with Python, and apply structured scoring to multi-step problems. 10–20 hours/week during active phases, with compensation up to $55/hour.