Mechanical Engineer with Python Experience - Freelance AI Trainer
Mindrift offers a fully remote, part-time freelance opportunity for experienced mechanical engineers residing in specified countries. Successful applicants will apply their expertise to train and evaluate AI models on complex mechanical engineering challenges, focusing on real-world rigor rather than traditional software development. Tasks include designing industry-level problems, validating AI solutions using Python (NumPy, SciPy, Pandas), and assessing problem-solving processes. Compensation is up to $40/hour, offering flexible work you can complete on your schedule.
Candidates must hold a Bachelor’s, Master’s, or PhD in Mechanical Engineering or a related field, with at least three years of professional or advanced academic experience in disciplines such as thermodynamics, fluid mechanics, FEA/CFD, or mechanical design. Strong Python proficiency and advanced English (C1+) are required. Applicants should excel in designing advanced, computationally intensive problems and critically evaluating AI reasoning.
This contract role is ideal for those looking to impact the future of AI in engineering, work flexibly, and tackle technically challenging projects. Please note that eligibility is limited to candidates residing in approved countries and applications must include an English resume.
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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