Mechanical Data Engineer (Mechanical + Data Engineering Required) 3 Month Contract Role

2 hours, 20 minutes ago
Contract
Mid Level
Data Science and Analytics

Foundation EGI

Foundation EGI is an AI platform for engineering and manufacturing. It describes itself as an “Engineering General Intelligence” platform that transforms 3D designs and engineering inputs into drawings, assembly instructions, manuals, catalogs, and production plans to accelerate product development and automate engineering documentation and workflows.

Technology, Information and Internet
11-50
Founded 2023
$31M raised

Description

  • Ingest, clean, transform, and structure customer and internal engineering data for AI training and inference.
  • Design mechanical components and assemblies in CAD as ground-truth references for AI training and evaluation.
  • Create labeled datasets, annotations, exploded views, sequences, reference designs, and other engineering artifacts.
  • Define dataset quality standards and assess the accuracy and reliability of mechanical engineering data.
  • Collaborate with product, engineering, and research teams to improve annotation tools, review workflows, and pipeline automation.
  • Translate customer requirements, industry standards, and data schemas into actionable dataset specifications.
  • Generate technical documentation that captures engineering intent, manufacturing constraints, material behavior, and DFM considerations.
  • Guide customers in preparing datasets, defining schemas, and improving data pipelines.
  • Review external contractor work for quality and adherence to standard operating procedures.
  • Document repeatable processes, communicate project progress, and surface risks early.

Requirements

  • Professional expertise in mechanical engineering, manufacturing design, or industrial workflows; this background is essential.
  • Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or Creo.
  • Familiarity with annotation and illustration tools such as Creo Illustrate, Adobe Illustrator, or Arbortext.
  • Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation.
  • Experience creating exploded views, work-step sequences, repair manuals, or manufacturing instructions.
  • Strong problem-solving ability and experience translating domain workflows into structured data requirements.
  • Excellent communication and cross-functional collaboration skills.
  • Experience with data operations, labeling workflows, ML data pipelines, or the AI/ML data lifecycle is preferred.
  • Experience in a fast-paced startup or high-growth environment is preferred.
  • Comfort with customer-facing discovery or solutioning is preferred.

Interested in this position?

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