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Mindrift

Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift, Des Moines, Iowa, United States

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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.

What We Do 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.

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

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+)

Ability to design non-trivial, computationally intensive problems

Benefits

Earn up to $55/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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