This is not a traditional job — you'll draw on your hands-on experience in parametric CAD, GD&T, and design for manufacturing to evaluate AI-generated content and provide feedback that helps AI reason like a practicing design engineer.
This is an ongoing, project-based opportunity you can take on alongside your current role.
Responsibilities
Use your domain expertise to create expert-level mechanical design problems and scenarios grounded in real CAD, tolerancing, and manufacturing workflows.
Review and evaluate AI-generated responses for technical accuracy, manufacturability, and alignment with how the work is actually done.
Provide structured written feedback to help improve AI model performance.
Experience and education
Ideal candidates meet all three of the following:
Industry experience — senior-level, with a portfolio of manufactured designs and complex GD&T/FEA work. A strong portfolio carries more weight than an advanced degree alone.
Degree — BS or MS in Mechanical Engineering paired with hands-on industry experience.
Sub-domain depth — demonstrated expertise in one of the following areas:
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.