MindriftPlease 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.
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.
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 Python proficiency for numerical validation
Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.
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.
Paid contributions, with rates up to $38/hour
Fixed project rate or individual rates, depending on the project
Some projects include incentive payments
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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