Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift; Remote; ZAR 200 000 - 300 000; Part time

Job summary

A leading AI innovation firm is seeking experienced Mechanical Engineers with strong Python skills to evaluate AI models against real-world engineering challenges. This role emphasizes engineering judgment rather than software development. Responsibilities include designing complex mechanical problems, validating AI-generated solutions, and ensuring that all outputs align with engineering standards. Enjoy the flexibility of fully remote and part-time freelance work while earning up to $20/hour. Ideal candidates will hold an advanced degree in Mechanical Engineering and possess a proficiency in Python.

Benefits

Earn up to $20/hour

Fully remote, flexible part-time freelance work

Contribute to future AI systems

Qualifications

• 3+ years professional or advanced academic experience in areas such as Thermodynamics, Fluid Mechanics, and Mechanical Design.
• Experience with FEA, CFD, and Computational Mechanics is beneficial.
• Strong analytical skills to validate AI-generated solutions.

Responsibilities

• Design mechanical engineering problems grounded in real practice.
• Evaluate AI-generated solutions for correctness and engineering logic.
• Validate results using Python and improve AI reasoning.

Skills

Strong Python proficiency for numerical validation

Advanced English proficiency (C1+)

Ability to design non-trivial, computationally intensive problems

Education

Bachelor's, Master's, or PhD in Mechanical Engineering or closely related field

Job description

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

The Role

We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development.

What You’ll Do

• 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

How To Apply

Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.

Effort estimate

Tasks for this project are estimated to take 6-10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Requirements

• Bachelor's, Master's, or PhD in Mechanical Engineering or closely related field
• Strong Python proficiency for numerical validation
• 3+ years professional or advanced academic experience in one or more of:
  • Thermodynamics, Heat Transfer, Fluid Mechanics
  • Solid Mechanics, Dynamics & Vibration
  • Mechanical Design, Machine Elements
  • FEA, CFD, Computational Mechanics
  • Manufacturing Processes, CAD/CAE, Thermal Systems
• Advanced English proficiency (C1+)
• Strong Python proficiency for numerical validation
• Ability to design non-trivial, computationally intensive problems

Benefits

Why Join

• Earn up to $20/hour for your expertise
• Fully remote, flexible, part-time freelance work
• Contribute to how future AI systems reason about mechanical engineering
• Work on technically rigorous, non-routine problems