Electrical Engineer with Python - Freelance AI Trainer

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 isproject-based, not permanent employment.

What this opportunity involves

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 (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 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.

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.

Compensation

On this project, contributors can earn up to $13 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.