Mechanical Engineer with Python Experience - Freelance AI Trainer

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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 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 Seniority level Mid-Senior level Employment type Part-time Job function Other IT Services and IT Consulting Referrals increase your chances of interviewing at Mindrift by 2x Get notified about new Mechanical Engineer jobs in Berlin, Berlin, Germany.

Mechanical Engineer with Python Experience - Freelance AI Trainer 2 days ago Be among the first 25 applicants This opportunity is only for candidates currently residing in the specified country. 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. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr