Hardware Expert
About the role
We are looking for a highly skilled CAD and mechanical design expert to contribute to an AI training project involving technical drawings, computational geometry, programmatic CAD, and Python. The work involves interpreting dimensioned engineering schematics and reproducing them as precise 3D solid models. A representative task may require constructing a mechanical component with complex curved geometry, implementing the model through Python, exporting it as a STEP file, and validating it against strict geometric and physical requirements.
What you'll do
- Interpret dimensions and geometric relationships from technical drawings.
- Translate 2D schematics into accurate 3D mechanical models.
- Decompose complex components into appropriate geometric features.
- Model curved profiles, sweeps, lofts, fillets, chamfers, and Boolean operations.
- Use Python to generate or automate CAD geometry.
- Export valid, watertight solid models in formats such as STEP.
- Validate dimensions, topology, volume, surface area, and inertia properties.
- Diagnose subtle differences between expected and generated geometry.
- Produce reproducible solutions that work in clean technical environments.
Requirements
- Strong Python programming ability.
- Hands on experience with 3D CAD or computational geometry.
- Ability to interpret dimensioned engineering drawings and schematics.
- Strong 3D spatial reasoning and attention to geometric precision.
- Experience validating or troubleshooting CAD models.
- Relevant tools may include build123d, CadQuery, FreeCAD, OpenCascade, Fusion 360, Onshape, SolidWorks, trimesh, or other CAD and geometry software. No specific tool is mandatory if your experience is transferable.
- Formal education and years of professional experience are not strict requirements. Mechanical designers, CAD specialists, engineers, researchers, makers, and independent technical experts are encouraged to apply if they can demonstrate the relevant skills.
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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