Electrical Engineer with Python Experience - Freelance AI Trainer

Mindrift

Milano

Remote

EUR 32,000 - 46,000

Part time

14 days+
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Benefits offered by this job

Earn up to $33/hour
Fully remote, flexible work
Contribute to AI systems
Work on technically rigorous problems

Job summary

A leading technology firm in Italy is seeking experienced Electrical Engineers with strong Python skills for a freelance role. You will design rigorous engineering problems to train AI models and evaluate solutions for correctness. Applicants must have a degree in Electrical Engineering and advanced English proficiency. This fully remote position offers flexible part-time work, earning up to $33/hour, allowing experts to contribute to future AI developments.

Qualifications

  • 3+ years of professional or advanced academic experience in Power Systems, Power Electronics, or related fields.
  • Experience with Control Systems, Signal Processing, or Renewable Energy.
  • Experience in designing rigorous engineering problems.
  • Ability to design complex, non-trivial engineering problems.

Responsibilities

  • Design electrical engineering problems for AI training.
  • Evaluate AI solutions for correctness and assumptions.
  • Validate calculations using Python.
  • Improve AI reasoning to align with industry-standard logic.
  • Apply structured scoring criteria to multi-step problems.

Skills

Strong Python proficiency
Ability to design complex engineering problems
Advanced English proficiency (C1+)

Education

Bachelor's, Master's, or PhD in Electrical Engineering or related field

Tools

NumPy
Pandas
SciPy

Job description

Electrical Engineer with Python Experience - Freelance AI Trainer

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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.

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.

What You'll Do
  • 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
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.

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
Benefits
  • Earn up to $33/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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