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Energy engineering & python expert - freelance ai trainer
Mindrift
Al Rayyan, QatarQAR 7,350-18,900/moToday
QatarEngineering & ManufacturingFull Time
Skills Required
PythonSapElectricalEnglish
Job Description
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. What this opportunity involvesDesign rigorous energy engineering problems reflecting professional practice;Evaluate AI solutions for correctness, assumptions, and constraints;Validate calculations or simulations using Python (Num Py, Pandas, Sci Py);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 experience in Python open to part-time, non-permanent projects. QualificationsDegree 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 worksApplyPass qualification(s)Join a projectComplete tasksGet paid Project time expectations 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. PaymentPaid contributions, with rates up to $40/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.
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