OverviewMindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.Please submit your CV in English and indicate your level of English proficiency.What This Opportunity InvolvesWhile each project involves unique tasks, contributors may:Design graduate- and industry-level mechanical engineering problems grounded in real practiceEvaluate AI-generated solutions for correctness, assumptions, and engineering logicValidate analytical or numerical results using Python (NumPy, SciPy, Pandas)Improve AI reasoning to align with first principles and accepted engineering standardsApply structured scoring criteria to assess multi-step problem solving.What We Look ForThis opportunity is a good fit for mechanical engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc.3+ years of professional mechanical engineering experienceStrong written English (C1/C2)Strong Python proficiency for numerical validationStable internet connectionProfessional certifications (e.g., PE, CEng, PMP) 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. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
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