CAD/PCB/3D Design Engineer – AI Evaluation

Job Description:

• Create realistic, difficult engineering design tasks for evaluating frontier AI models
• Develop self-contained tasks including prompts, input files, and automated graders
• Build and iterate tasks with Claude Code and version them in Git
• Run tasks against frontier models and review model transcripts
• Identify and close leaks and shortcuts so tasks are difficult for the right reasons
• Ensure tasks are fair, realistic, and prioritize realism over difficulty
• Pass automated QA and peer review
• Document the rationale for synthetic data created
• Attend onboarding and calibration sessions
• Work across Mechanical CAD, Electronics/PCB, or 3D/Spatial-Temporal design tracks

Requirements:

• 3+ years of hands-on design experience in at least one track (industry, research lab, or serious freelance work)
• Mechanical CAD track: hands-on professional experience with SolidWorks, AutoCAD, FreeCAD, or a comparable CAD tool
• Experience delivering fabricated boards, manufactured parts, production 3D assets, or published research
• Portfolio link required to apply
• Python experience as part of engineering work
• Comfortable with the command line and Git
• Ability to judge whether a design is actually correct, not just whether it looks right
• Mechanical CAD: parts, assemblies, mechanisms, and tolerancing experience
• Electronics/PCB: schematic capture, layout, DRC/ERC, footprints, and enclosure fit using KiCad
• 3D/Spatial-Temporal: scene construction, animation, rigging, physics, and camera work in headless Blender driven by Python
• Ability to work minimum 20 hours per week and be active at least 5 days per week
• Must be able to work as an independent contractor
• H1-B and STEM OPT candidates are not supported
• Siemens NX and/or CATIA experience valued
• Experience scripting design tools such as build123d/CadQuery, FreeCAD Python, NX Open, KiCad scripting, or Blender's Python API (bpy) valued
• FEA, CFD, circuit, or EM simulation experience valued
• Degree (BS/MS/PhD) in Mechanical, Electrical, Aerospace, Robotics, Computer Graphics, or a related field is a bonus qualification
• Prior AI training, benchmark, or evaluation work, or heavy daily use of AI coding agents is a bonus qualification

Benefits:

• Fully remote role
• Flexible schedule / work on your own schedule
• Weekly payments via Stripe or Wise
• Competitive pay
• Minimum 20 hours per week
• Opportunity to collaborate with leading researchers
• Opportunity to help shape next-generation AI systems
• Referral rewards of up to $400 per successful referral, subject to limits
• Reasonable accommodations upon request