***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:
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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.
**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:
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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
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 **
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Paid contributions, with rates *up to $33/hour **
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Fixed project rate or individual rates, depending on the project
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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.