Mechanical CAD Expert

You will help improve AI systems by creating mechanical design scenarios and reviewing AI-generated answers. Your feedback will show whether proposed work is technically accurate, practical to manufacture, and aligned with professional engineering practice.

The work is remote and project-based. You will complete tasks independently at a flexible pace while applying judgment from real mechanical design and production work.

• Create expert-level scenarios involving CAD, tolerancing, manufacturing, and engineering workflows.
• Review AI-generated responses for technical accuracy and manufacturability.
• Write structured feedback that helps improve AI model performance.
• Assess work involving parametric CAD, GD&T, design for manufacturing, FEA, and simulation.
• Use practical experience to explain complex mechanical concepts clearly.

This is an ongoing contract and part-time opportunity that can be taken on alongside a current role. The work has no set schedule, and the listing calls for 20 or more hours per week.

• Pay: Up to $47 per hour.
• Work arrangement: Remote, flexible, asynchronous, and project-based.
• Location: Open to candidates in the United States.
• Language: Fluent English.
• Experience: Senior-level mechanical design experience with hands-on work and a portfolio of manufactured designs.
• Education: A bachelor's or master's degree in Mechanical Engineering with practical industry experience.
• Technical background: Strong experience in parametric CAD, GD&T and design for manufacturing, or FEA and simulation.
• Communication: Strong written communication, careful attention to detail, and the ability to explain technical ideas clearly.
• Helpful experience: Multiple CAD platforms or simulation environments, including SolidWorks, CATIA, Fusion 360, or Onshape.
• Portfolio: Designs developed from concept through manufacturing are valuable.

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

AI training is the human work behind artificial intelligence, including creating examples and reviewing model responses. People with specialized engineering knowledge help models produce more accurate and useful technical work.