This is not a traditional job — you'll draw on your hands-on industry experience in power systems, semiconductors, or embedded/RF design to evaluate AI-generated content and provide feedback that helps AI reason like a practicing engineer.

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

• Use your industry expertise to create expert-level engineering problems and scenarios grounded in real design, test, and field work.
• 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:

• Industry experience — 2+ years of hands-on EE work in industry.

• Degree — MS or PhD in Electrical, Electronics, or Computer Engineering. A BS in EE also qualifies when paired with strong industry experience.

• Sub-domain depth — demonstrated expertise in one of the following areas:

  • Power systems, microgrids, or high-voltage engineering.

  • Semiconductors, chip design, or EDA.

  • Embedded systems, DSP, or RF.

Additional qualifications (not required, but strengthen your application)

• Proficiency with industry tools such as MATLAB/Simulink, Python, SPICE, PSCAD, ETAP, PSS®E, Cadence, Synopsys, Altium, KiCad, Verilog/SystemVerilog, or comparable EDA and simulation environments.

• Experience at a recognized EE/hardware employer (e.g. Qualcomm, TI, Intel, NVIDIA, GE, Siemens).

Required for all applicants

• Have Canadian work authorization.

• Strong written communication, attention to detail, and the ability to work independently in a remote, asynchronous environment.

Work arrangement: Fully remote

Eligible countries: Canada

• Depending on the project.