Freelance Energy Systems Engineer – AI Trainer in , us

About Mindrift

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 energy 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 energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc.
• 3+ years of professional energy engineering experience
• Strong written English (C1/C2)
• Strong Python proficiency for numerical validation
• Stable internet connection
• Professional certifications (e.g., PE, CEng, EMP, CEM) 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 $50/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.