About the Role
We're looking for CAD Engineers to support the training and evaluation of AI models through task-based work. This isn't traditional CAD production work — you'll apply deep CAD domain expertise to create realistic assignments, define clear requirements and expected outputs, and rigorously review completed work for accuracy. If you can think like both an engineer and an evaluator, this role is built for that.
What You'll Do
Analyze CAD domains to identify realistic, representative task scenarios
Create well-defined assignments with clear requirements and expected outputs
Review completed work for technical accuracy and adherence to CAD best practices
Source and validate CAD files to ensure quality and relevance for AI training use cases
Provide clear, structured feedback to support AI model evaluation
Complete a short paid test task, which determines eligibility for larger batches of ongoing work
What You Bring
Strong hands-on CAD engineering experience across relevant domains and tools
Ability to design realistic, well-scoped technical assignments from scratch
Strong attention to detail for reviewing and validating technical work
Comfort working in a task-based, output-driven engagement structure
Ability to source and assess CAD files for quality and appropriateness
Nice to Have
Prior experience contributing to AI training, evaluation, or data annotation projects
Familiarity with multiple CAD platforms or specialized CAD domains
Why This Role
Flexible, task-based structure: Work in discrete assignments rather than a fixed long-term commitment
High-leverage impact: Your CAD expertise directly shapes how AI models learn and are evaluated
Low-commitment entry point: Start with a short paid test task before scaling into larger batches of work
Domain expertise valued: Real engineering judgment matters here, not just task completion