Key skills
Mechanical EngineeringPythonNumerical ValidationProfessional CertificationsWritten EnglishAIPandasNumPyProblem Solving
About this role
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This role involves designing and evaluating mechanical engineering problems, validating results using Python, and improving AI reasoning in line with accepted engineering standards.
Responsibilities:
- 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
Requirements:
- 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)
- Experience in international or applied projects