United States
Redwood Materials
Xperteez Technology
CAD Expert, Remote
United States
United States
Python
Compensation Structure
Role Type: Contract
Location: Fully Remote-Open Worldwide
Schedule: 15-20 hrs/week. Fully flexible (Can accomodate after hours + weekends if needed)
Process
- Complete your appplication
- Complete AI interview (aprox. 30 minutes)
- Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your CAD domain knowledge is what matters.
Required Qualifications
This is a very coding heavy role, must experience using coding agents with python in the workflow.
- Hands-on experience with any CAD platform (e.g. Fusion 360, AutoCAD, SolidWorks, Onshape, Inventor, CATIA, Creo).
- Strong written and verbal communication skills with an emphasis on clarity and detail.
Scope of Work
- Provide expert feedback on manufacturing processes and techniques, drawing on hands-on CAD experience (CAM and CNC workflows especially welcome).
- Review, assess, and refine AI-generated content and recommendations relevant to manufacturing workflows.
- Develop and validate detailed rubrics for evaluating manufacturing process accuracy and efficiency.
Preferred Qualifications
- Experience with Autodesk tools, particularly Fusion 360 or AutoCAD.
- Experience using coding agents and Python.
- Background in CAM, CNC machining, or digital manufacturing workflows.
- Familiarity with AI tools (LLMs, generative design, AI-assisted workflows) and comfort evaluating AI output.
- Experience developing or applying process evaluation rubrics.
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