Freelance Energy Engineer With Python Experience
1 hora atrás
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 involvesWhile 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 forThis 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 experienceStrong written English (C1/C2)Strong Python proficiency for numerical validationStable internet connectionProfessional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage.How it worksApply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paidProject time expectationsFor this project, tasks are estimated to require around ***** 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.PaymentPaid contributions, with ratesup to $13/hour*Fixed project rate or individual rates, depending on the projectSome 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.
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