About The Position

We are engaging Senior Mechanical Design Engineers to contribute to a customer's project involving complex CAD assembly exploration and AI advancement. 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. No prior experience in AI is required — your domain knowledge is what matters.

Requirements

  • Design intent & assembly reasoning
  • Parametric modeling depth
  • Mechanism & kinematic sense
  • GD&T & tolerance judgment
  • CAD tools expertise

Nice To Haves

  • 5+ years of professional experience creating and overseeing multi-part mechanical assemblies from concept, not just from existing drawings.
  • Mastery in at least one major parametric CAD tool (SolidWorks, Creo, NX, CATIA, Inventor, Fusion, Onshape, or Solid Edge).
  • Demonstrated experience in teaching, mentoring, or leading — whether through formal instruction, leading design reviews, or coaching engineering teams.
  • Expertise in design intent, assembly reasoning, mechanism and kinematic analysis, and robust GD&T/tolerance judgment.
  • Background in at least one discipline: industrial machinery and automation, robotics, automotive and heavy equipment, aerospace and defense, medical devices, consumer products, or tooling and fixture design.
  • Exceptional written English communication skills — your documentation directly influences project deliverables.
  • Experience with FreeCAD, advanced GD&T/tolerance analysis, or formal design review leadership.

Responsibilities

  • Analyze and dissect multi-part mechanical assemblies to identify critical design decisions, constraints, and potential failure points that challenge expert reasoning.
  • Formulate challenging, non-obvious technical questions that test real-world mechanical design judgment, ensuring relevance and difficulty beyond junior-level understanding.
  • Validate and document defensible, exact answers directly from CAD models, ensuring clear traceability and accuracy.
  • Review AI-generated outputs, pinpoint breakdowns or inaccuracies in mechanical reasoning, and suggest targeted improvements.
  • Flag ambiguous, trivial, or unanswerable questions, refining or sharpening them for clarity and precision.
  • Thoroughly document edge cases and sources of disagreement within answers to maintain strict verifiability.
  • Communicate findings and reasoning in clear, professional written and verbal form to support continuous project improvement.
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