CAD Data Generation & Validation Specialist (FreeCAD)

About this role

The company is engaging CAD Data Generation & Validation Specialists (FreeCAD) to contribute to a leading-edge customer project focused on AI model training. 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.

Skills

Key responsibilities

• Produce, edit, and validate precise parametric CAD models using FreeCAD, focusing on robust geometric accuracy and engineering best practices.
• Develop a diverse library of mechanical parts, assemblies, and features to support AI dataset creation and model training needs.
• Apply Geometric Dimensioning & Tolerancing (GD&T) principles to ensure models reflect real-world mechanical design standards.
• Conduct quality assurance reviews of CAD data, identifying and resolving discrepancies while maintaining detailed engineering documentation.
• Implement feedback and revisions efficiently to continually refine CAD deliverables in response to evolving project requirements.
• Optionally utilize Python scripting to automate modeling tasks or enhance model parametrization for increased efficiency and dataset richness.
• Document modeling workflows and decisions to ensure reproducibility and transparency in the dataset creation process.

Preferred qualifications

• 2+ years of experience in mechanical design, CAD modeling, manufacturing, or industrial engineering, with a strong track record using FreeCAD or equivalent parametric CAD software.
• Demonstrated expertise in parametric modeling and mechanical design, with a deep understanding of engineering best practices.
• Proficiency in CAD validation and the application of GD&T for real-world manufacturing scenarios.
• Familiarity with industrial engineering principles and common manufacturing processes.
• Strong attention to detail and a commitment to precision and quality in all deliverables.
• Experience preparing comprehensive engineering documentation for technical and non-technical audiences.