Mechanical Engineer with Python – Freelance AI Trainer

Mindrift; Town of Texas (WI); On-site; USD 45,000 - 76,000; Full time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. You will contribute to engineering problems, assess AI outputs, and validate results using Python.

This is a part-time, non-permanent engagement with flexible hours and internet access requirements. Ideal candidates hold a Mechanical Engineering degree with 3+ years of experience, strong written English, and solid Python skills; certifications

Qualifications

• Degree in Mechanical Engineering or related fields
• 3+ years of professional mechanical engineering experience
• Strong written English (C1/C2)
• Strong Python proficiency for numerical validation
• Stable internet connection
• Professional certifications (e.g., 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

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation isproject-based, not permanent employment.

What This Opportunity Involves

While each project involves unique tasks, contributors may:

• 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.

What We Look For

This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc.
• 3+ years of professional mechanical 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.

Compensation

On this project, contributors can earn up to $55 per hour equivalent , depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.