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Mechanical Engineer with Python Experience - Freelance AI Trainer
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Mechanical Engineer with Python Experience - Freelance AI Trainer
Job summary
A forward-thinking AI company is seeking experienced Mechanical Engineers with strong Python skills to evaluate AI models on real-world engineering problems. This remote, part-time role allows you to design complex mechanical problems and validate AI solutions, ensuring they meet engineering standards. Ideal candidates will have a degree in Mechanical Engineering and at least three years of relevant experience, focusing on innovative AI applications in engineering. Earn up to $50/hour based on your expertise.
Benefits
Qualifications
- 3+ years professional or advanced academic experience in Thermodynamics, Heat Transfer, Fluid Mechanics.
- Ability to design non-trivial, computationally intensive problems.
- Advanced English proficiency (C1+).
Responsibilities
- Design graduate- and industry-level mechanical engineering problems.
- Evaluate AI-generated solutions for engineering logic.
- Validate results using Python.
Skills
Education
Tools
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.
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.
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.
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.
Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.
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
- Earn up to $50 / 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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.