Mechanical Engineer

• Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference
• Design and build mechanical components and assemblies in CAD as authoritative ground truth for evaluating and training AI systems
• Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts
• Define and assess output quality across datasets and maintain standards for metadata, annotation, and model quality
• Collaborate with Product Managers on annotation, data correction, model-output review, and pipeline automation tooling
• Provide feedback on tool usability, workflow efficiency, and automation opportunities
• Develop scalable, repeatable data processes that improve throughput and data consistency
• Partner with engineering and research teams to understand model data requirements and failure modes
• Supply representative engineering examples and ground-truth mechanical designs to influence model behavior
• Translate domain requirements, industry standards, and customer data schemas into actionable dataset specifications
• Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts
• Generate technical documentation, exploded views, sequences, and annotations encoding engineering reasoning into training data
• Ensure datasets reflect real-world constraints, DFM considerations, material behavior, and industry best practices
• Work with customers to understand data sources, schemas, formats, and quality expectations
• Guide customers in preparing datasets, defining structured schemas, and improving data pipelines
• Communicate progress clearly, surface risks early, and review external contractors for quality and SOP adherence

Explore Mechanical Data Engineer – Mechanical, Data Engineering at Foundation EGI. Review requirements and application details.

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