Freelance AI Trainer - Electrical Engineering & Python

MindriftNew York, NY
2d$55Remote

About The Position

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 Electrical Engineers with strong Python skills to train AI models on complex electrical engineering reasoning tasks. This role focuses on technical evaluation and problem design , not software development or data labeling.

Requirements

  • Bachelor’s, Master’s, or PhD in Electrical Engineering or related field.
  • Strong Python proficiency for numerical validation.
  • 3+ years professional or advanced academic experience in one or more of: Power Systems, Power Electronics, Electric Machines & Drives Control Systems, Signal Processing, Communications Electronics, Microelectronics, VLSI, Embedded Systems Renewable Energy, Smart Grids, EV Systems
  • Advanced English proficiency (C1+)
  • Ability to design complex, non-trivial engineering problems

Responsibilities

  • Design rigorous electrical engineering problems reflecting professional practice.
  • Evaluate AI solutions for correctness, assumptions, and constraints.
  • Validate calculations or simulations using Python (NumPy, Pandas, SciPy).
  • Improve AI reasoning to align with industry-standard logic.
  • Apply structured scoring criteria to multi-step 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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