Mechanical Engineer with Python - Freelance 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 isproject\-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 $13/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