Electrical Engineering Expert (Canada)

Handshake AI · Remote

Commitment
part-time
Source
handshake-ai
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About this role

Opportunity Overview Handshake is looking for experienced electrical and computer engineers to support AI research through flexible, part-time contract work. 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. What You'll Do 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 Complete tasks at your own pace with no set schedule or minimum hour requirement Qualifications 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

Skills & domains