Energy Systems Engineer - Freelance AI Trainer - Part-time

pemstrongPlease submit your CV in English and indicate your level of English proficiency. /strong/em/ppMindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. strongParticipation isproject-based, not permanent employment./strong/ppstrongWhat this opportunity involves /strong/ppWhile each project involves unique tasks, contributors may: /pulliDesign rigorous energy engineering problems reflecting professional practice; /liliEvaluate AI solutions for correctness, assumptions, and constraints; /liliValidate calculations or simulations using Python (NumPy, Pandas, SciPy); /liliImprove AI reasoning to align with industry-standard logic; /liliApply structured scoring criteria to multi-step problems./li/ulpstrongWhat we look for /strong/ppThis opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:nbsp; /pulliDegree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. /lili3+ years of professional energy engineering experience /liliStrong written English (C1/C2) /liliStrong Python proficiency for numerical validation /liliStable internet connectionnbsp; /li/ulpProfessional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage./ppstrongHow it works /strong /ppApply → Pass qualification(s) → Join a project → Complete tasks → Get paid/ppstrongProject time expectations /strong/ppFor 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. /ppstrongPayment /strong/pulliPaid contributions, with rates strongup to $50/hour*nbsp;/strong /liliFixed project rate or individual rates, depending on the project /liliSome projects include incentive payments /li/ulpem*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./em/p