Energy Systems Engineer - Freelance AI Trainer

Job Description

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

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Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

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Participation is project-based, not permanent employment.

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What This Opportunity Involves

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• Design rigorous energy engineering problems reflecting professional practice;
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• Evaluate AI solutions for correctness, assumptions, and constraints;
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• Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
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• Improve AI reasoning to align with industry-standard logic;
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• Apply structured scoring criteria to multi-step problems
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This opportunity is a good fit for energy engineers with experience in Python open to part‐time, non‐permanent projects.

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What We Look For

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

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How It Works

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

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Project time expectations

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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.

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Payment

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• Paid contributions, with rates up to $38/hour*
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• Fixed project rate or individual rates, depending on the project
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• Some projects include incentive payments
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• 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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