Electrical Engineer with Python Experience - Freelance AI Trainer

Mindrift

Turbigo

A distancia

EUR 39.166

A tiempo parcial

14 días+
Generador de candidaturas

Convierte este puesto en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Earn up to $33/hour
Fully remote, flexible work
Contribute to future AI systems

Descripción de la vacante

A forward-thinking AI company is seeking experienced Electrical Engineers with strong Python skills to contribute to AI projects. This remote, flexible, part-time freelance position involves designing engineering problems, evaluating AI solutions, and validating results using Python. Candidates need a relevant degree and advanced English proficiency. Eligibility is limited to those residing in the specified country, and compensation can reach $33/hour based on expertise.

Formación

  • 3+ years of professional or advanced academic experience in Power Systems, Power Electronics, or related fields.
  • Experience with complex, non-trivial engineering problems.
  • Knowledge of industry standards and practices in electrical engineering.

Responsabilidades

  • Design rigorous electrical engineering problems reflecting professional practice.
  • Evaluate AI solutions for correctness, assumptions, and constraints.
  • Validate calculations or simulations using Python.

Conocimientos

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

Educación

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

Herramientas

NumPy
Pandas
SciPy

Descripción del empleo

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

Why Join

  • 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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