This is not a traditional job — you'll draw on your hands-on industry experience in chip design, EDA, VLSI, or semiconductor process engineering to evaluate AI-generated content and provide feedback that helps AI reason like a practicing chip engineer.

This is an ongoing, project-based opportunity you can take on alongside your current role.

Complete tasks at your own pace with no set schedule or minimum hour requirement.

• Use your industry expertise to create expert-level engineering problems and scenarios grounded in real chip design, verification, and tape-out workflows.
• Review and evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with how the work is actually done.
• Provide structured written feedback to help improve AI model performance.

Ideal candidates meet all three of the following:

• MS or PhD in Electrical, Electronics, or Computer Engineering; a BS in EE/ECE also qualifies when paired with strong industry experience.
• 2+ years of hands-on chip design or semiconductor work in industry.
• Depth in one or more of the following: VLSI design, digital or analog chip design, EDA tooling, semiconductor fabrication, or formal verification.

Candidates who meet these are also encouraged to apply.

• Proficiency with tools such as Cadence Virtuoso/Innovus, Synopsys Design Compiler, Mentor Calibre, Verilog, SystemVerilog, ModelSim, Vivado, or Quartus is a strong plus.
• Strong written communication, attention to detail, and the ability to work independently in a remote, asynchronous environment.

Work arrangement: Fully remote

Eligible countries: United States