FreeCAD Expert (Remote) AI Training Content Designer

Remotebridge; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

Remotebridge seeks a FreeCAD Expert to collaborate on a remote contractor project for a customer in the mechanical, aerospace, or industrial design sectors. You’ll craft objective, precise Q&A sets from multi-part CAD assemblies to influence AI training data.

You will analyze geometry and assembly relationships, ensure verifiable answers, and deliver clear, technically accurate questions and answers while documenting ambiguities for continuous improvement.

Qualifications

• Extensive background in mechanical engineering, aerospace engineering, or industrial design.
• Experience with multi-part assemblies and interpreting engineering drawings.

Responsibilities

• Author objective, precise, and non-guessable question-and-answer sets based on multi-part CAD assemblies provided in FreeCAD format.
• Analyze complex mechanical designs focusing on geometry, assembly relations, and engineering function to craft several technical questions per assembly.
• Ensure each question has an exact, verifiable answer that requires application of domain expertise.
• Deliver high-quality written content with clarity and technical accuracy in both questions and answers.
• Collaborate asynchronously via written and verbal communication to clarify requirements, review feedback, and iterate on deliverables.
• Document insights or ambiguities encountered during the authoring process to support continuous improvement.

Skills

CAD knowledge

Mechanical engineering

Technical writing

Tools

FreeCAD

Job description

Remotebridge seeks a FreeCAD Expert to collaborate on a remote contractor project for a customer in the mechanical, aerospace, or industrial design sectors. You’ll craft objective, precise Q&A sets from multi-part CAD assemblies to influence AI training data.

You will analyze geometry and assembly relationships, ensure verifiable answers, and deliver clear, technically accurate questions and answers while documenting ambiguities for continuous improvement.