Himalayas · Partner listingCAD Expert | Remote - Contract
Xperteez Technology
⌖ WorldwideSalary not providedRemoteContract · Not specified
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: Worldwide
About the role
CAD Expert
Role Type: Contractor
Location: Fully Remote-Open Worldwide
Schedule: 15-20 hrs/week. Fully flexible (Can accomodate after hours + weekends if needed)
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.
This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
Required Skills
AutoCAD
AutoDesk
Fusion 360
FreeCAD
CAD
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.
Required Qualifications
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.
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.
Process:
Apply to the role, filling out the screening questions
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.
Originally posted on Himalayas
Skills mentioned in the listing
AutoCADCADSolidWorksPythonCNC machining
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
AutoCAD · requirement-context
experience using coding agents with python in their workflow. Required Skills AutoCAD AutoDesk Fusion 360 FreeCAD CAD Scope of Work Provide expert feedback on manufacturing processes and techniques, drawing
CAD · mentioned
CAD Expert | Remote - Contract CAD Expert Role Type: Contractor Location: Fully Remote-Open Worldwide Schedule: 15-20 hrs/week. Fully flexible (Can accomodate after hours + weekends if needed) In this role, you'll apply
SolidWorks · requirement-context
fications 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. Pref
Python · requirement-context
very coding heavy role. Candidates but have experience using coding agents with python in their workflow. Required Skills AutoCAD AutoDesk Fusion 360 FreeCAD CAD Scope of Work Provide expert feedback on manuf
CNC machining · mentioned
0 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