About

• 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 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 $35/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.