Electrical Engineer with Python - Freelance AI Trainer
Pubblicato il 03-09-2026 - Mindrift in Milano
Please submit your CV in English and indicate your level of English proficiency.
I candidati sono invitati a leggere attentamente tutti gli elementi di questo annuncio. La preghiamo di inviare la sua candidatura tempestivamente.
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. xysqume Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
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