Freelance Mechanical Engineer with Python Experience - AI Trainer

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 is project-based, not permanent employment. What This Opportunity Involves While each project involves unique tasks, contributors may: Design graduate- and industry-level mechanical engineering problems grounded in real practice; Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); Improve AI reasoning to align with first principles and accepted engineering standards; Apply structured scoring criteria to assess multi-step problem solving. What We Look For This opportunity is a good fit for mechanical engineers with an 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 experience; Strong written English (C1/C2); Strong Python proficiency for numerical validation; Stable internet connection. Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How It Works: Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. Project time expectations: For 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. Payment: Paid contributions, with rates up to $50/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.