CAD Expert

What you would do

• Review AI-generated manufacturing recommendations and evaluate them against real-world constraints and best practices
• Assess process efficiency and technical feasibility of CAD designs produced or refined by AI systems
• Develop and refine evaluation rubrics to consistently measure manufacturing accuracy and operational efficiency
• Write Python code and scripts to automate assessment of AI outputs across large batches of designs
• Document detailed technical feedback explaining why AI recommendations succeed or fail

Who they want

• Hands-on experience with any CAD platform (Fusion 360, AutoCAD, SolidWorks, Inventor, CATIA, Creo, Onshape)
• Experience with CAM platforms, precision CNC operations, and manufacturing automation environments
• Proficiency writing Python code and familiarity using AI-powered coding agents in design workflows
• Strong written and verbal communication emphasizing clarity and technical precision
• Experience developing or applying evaluation rubrics for technical processes

Main skills

What the interview asks about

1. 1.Manufacturing process feasibility

   AI models trained on designs often ignore real-world constraints; your experience prevents propagation of infeasible suggestions.

   For example: “An AI system recommends a 5-axis CNC toolpath for a part that a more senior engineer would mill using 3-axis conventional techniques with better finish and lower cost. How do you evaluate this recommendation, and what rubric category captures the trade-off?”

2. 2.Multi-platform CAD evaluation

   Different CAD systems have different constraint models; you must evaluate AI recommendations within each platform's native behavior.

   For example: “The same geometry receives different manufacturability scores in Fusion 360 versus CATIA due to different simulation engines. How do you construct a rubric that accounts for these platform-specific behaviors while still maintaining consistent assessment?”

3. 3.Rubric development and calibration

   Subjective evaluation corrupts training data; objective rubrics allow models to learn from consistent feedback.

   For example: “You're developing a rubric for 'manufacturability efficiency' across diverse geometries and volumes. A simple design excels for 1-off parts but fails for high-volume stamping; complex designs show the opposite. How do you structure it?”

4. 4.Python workflow integration

   Manual review doesn't scale; automation through coding enables consistent assessment of thousands of AI outputs.

   For example: “You need to test whether an AI design tool consistently avoids internal sharp corners that can't be machined. Write a conceptual Python workflow describing how you'd detect this violation across a batch of 500 generated designs.”

5. 5.AI model feedback documentation

   Clear, specific feedback teaches models to correct systematic errors in future generations.

   For example: “Reviewing 50 AI-generated CNC toolpaths, you notice 8 suggestions violate clearance constraints by 0.1-0.5mm in specific geometries. How do you document this feedback so the model can learn to avoid similar violations?”

A task you may get

Review 3-5 AI-generated CAD designs or manufacturing recommendations from real work samples, assess them against provided rubric criteria, and document your evaluations with technical reasoning.

How to prepare

• Prepare 2-3 past CAD or manufacturing projects where you identified defects, efficiency gaps, or feasibility issues
• Assemble examples of CAM or CNC workflows where AI recommendations succeeded or failed in practice
• Document a Python script or pseudocode you've written for technical testing or evaluation purposes
• Outline 1-2 evaluation rubrics you've developed or applied in assessing manufacturing quality or design efficiency

The facts

Pay

$80–150/hr

Open to

Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia

Field

Other

Role type

Expert

Posted

9/3/2026

Places left

50

We wrote this page from the public micro1 listing. It may be out of date, so read the full posting before you apply.