Freelance Electrical Engineering & Python Expert - AI Trainer

Overview

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.

While each project involves unique tasks, contributors may:

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

This opportunity is a good fit for electrical engineers with an experience in python open to part-time, 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.

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

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.

• Paid contributions, with rates up to $55/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.