Mechanical Engineer with Python Experience - Freelance AI Trainer
Mindrift offers a fully remote, part-time freelance opportunity for experienced Mechanical Engineers to help train and evaluate AI models for top tech clients. Responsibilities include designing graduate/industry-level problems, assessing AI-generated solutions for engineering accuracy, and validating results using Python (NumPy, SciPy, Pandas). Compensation is up to $40/hour, and you'll work flexibly on tasks requiring 6–10 hours, contributing directly to ethical, advanced AI technology.
Ideal candidates have a Bachelor’s or higher in Mechanical Engineering, 3+ years experience (professional or academic), and advanced proficiency in Python as well as C1+ English. Specializations in fields such as Thermodynamics, Solid/Fluid Mechanics, FEA, CFD, and Mechanical Design are important. Applicants must currently reside in the specified country and submit applications in English, indicating their English level.
This role stands out for its focus on professional judgment over rote data work, with flexible hours and the opportunity to make a meaningful impact on the future of AI in engineering.
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
You may be asked to:
- 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.
- 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
Why Join
- Earn up to $40/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
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