Electrical Engineer with Python - Freelance AI Trainer
Pubblicato il 21-08-2026 - Mindrift in Padova
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.
L'esperienza richiesta ai candidati, così come le competenze e le qualifiche aggiuntive necessarie per questo lavoro, sono elencate di seguito.
Participation is project-based, not permanent employment.What This Opportunity InvolvesDesign rigorous electrical engineering problems reflecting professional practiceEvaluate AI solutions for correctness, assumptions, and constraintsValidate calculations or simulations using Python (NumPy, Pandas, SciPy)Improve AI reasoning to align with industry-standard logicApply structured scoring criteria to multi-step problems.What We Look ForThis opportunity is a good fit for electrical engineers with an experience in python open to tempo parziale, non-permanent projects.
Ideally, contributors will have:Degree in Electrical Engineering or related fields, e.g.
Electronics, Microelectronics, Embedded Systems, Power Systems,
etc.3+ years of professional electrical engineering experienceStrong written English (C1/C2)Strong Python proficiency for numerical validationStable internet connectionProfessional certifications (e.g., PE, CEng, EUR ING, RPEQ) 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 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 $33/hour
*Fixed project rate or individual rates, depending on the projectSome projects include incentive paymentsNote: Rates vary based on expertise, skills assessment, location, project needs, and other factors.
Higher rates may be offered to highly specialized experts. xysqume
Lower rates may apply during onboarding or non-core project phases.
Payment details are shared per project
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