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Crea una Job Alert gratuita per electrical engineer with python - freelance ai trainer / campo di ne

Electrical Engineer with Python - Freelance AI Trainer

Pubblicato il 16-10-2026 - Mindrift in Campo di Ne

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

- 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.

What We Look For

This opportunity is a good fit for electrical engineers with an experience in python open to tempo parziale, non-permanent projects. Ideally, contributors will have:

- Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc.
- 3+ years of professional electrical engineering experience
- Strong written English (C1/C2)
- Strong Python proficiency for numerical validation




- Stable internet connection

Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage.

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Payment

- Paid contributions, with rates up to $33/hour*
- Fixed project rate or individual rates, depending on the project
- Some projects include incentive payments
- Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project

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