Mechanical Engineer & Python Expert - 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 is project-based, not permanent employment. What This Opportunity Involves Design original computational engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers What We Look For This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Mechanical Engineering or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) 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. Compensation On this project, contributors can earn up to $69 per hour equivalent , depending on their level and pace of contribution. #J-18808-Ljbffr