Mechanical Engineering AI Training Expert

You will create, solve, and validate engineering simulation tasks for AI training. The work covers structural, thermal, mechanical, and multiphysics problems, with Python used to automate models and evaluate results.

• Create and modify geometry, meshes, materials, loads, contacts, and solver inputs.
• Run structural, thermal, dynamic, fatigue, buckling, vibration, and related analyses with command-line simulation tools.
• Use Python for model preparation, simulations, parameter sweeps, optimization, postprocessing, and verification.
• Compare simulation outputs with hand calculations, experimental data, or reference cases.
• Diagnose invalid geometry, mesh issues, convergence failures, and unrealistic results.
• Review AI-generated engineering solutions for reasoning errors, incorrect assumptions, and physical constraints.
• Create clear reference solutions and objective checks that others can reproduce.

What it pays and takes

This is a flexible, remote, part-time contractor role. The work is open to candidates in the listed countries and requires English fluency.

• Pay: $80 to $150 per hour equivalent, paid per task that meets the project specifications.
• Schedule: About 15 hours per week, with flexibility to choose your hours and days.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, Ethiopia, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, the Palestinian Territories, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Language: Fluent in English.
• Education: A master's degree or PhD in mechanical engineering or a closely related field, or a bachelor's degree plus at least 1 to 2 years of relevant professional experience.
• Skills: Strong applied mechanics and mechanical engineering knowledge, practical Python skills, and experience with at least one command-line engineering simulation tool.
• Required tools experience: CalculiX, Gmsh, Elmer, FEniCSx, OpenFOAM, or another command-line-accessible engineering simulation tool.
• Additional strengths: Experience with NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CadQuery, OpenSCAD, SU2, or similar programmatic engineering tools. Teaching or instructor experience is valued but not required.
• You should be able to turn physical requirements into computational models, validate results, troubleshoot problems, and explain engineering decisions and trade-offs.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples. In this role, your engineering models, checks, and reviews help evaluate how well AI handles real mechanical engineering problems, while your specialized knowledge supports higher-level technical work.