Electrical Engineering Expert

What You'll Do4

• Build expert-level engineering problems and scenarios drawn from real design, test, and field work.
• Evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with actual engineering practice.
• Deliver structured written feedback that helps improve AI model performance.
• Choose your own hours and complete tasks without a set schedule or minimum hour requirement.

Requirements7

• 2+ years of hands-on electrical engineering experience in industry.
• MS or PhD in Electrical, Electronics, or Computer Engineering. A BS in EE also qualifies when paired with strong industry experience.
• Demonstrated depth in one sub-domain: power systems, microgrids, or high-voltage engineering; semiconductors, chip design, or EDA; or embedded systems, DSP, or RF.
• Proficiency with tools such as MATLAB/Simulink, Python, SPICE, PSCAD, ETAP, PSS®E, Cadence, Synopsys, Altium, KiCad, Verilog/SystemVerilog, or similar EDA and simulation environments. These tools strengthen an application but are not required.
• Experience at a recognized EE or hardware employer such as Qualcomm, TI, Intel, NVIDIA, GE, or Siemens. This background helps but is not required.
• Based in the United States or Canada.
• Strong written communication, attention to detail, and the ability to work on your own in a remote, asynchronous setting.

Who Should Apply

The ideal candidate brings at least two years of industry EE work, an MS or PhD in electrical, electronics, or computer engineering, and deep knowledge in one area such as power systems, chip design, or RF. A BS in EE with a strong industry record also fits. This role suits engineers who can explain technical tradeoffs in writing and manage their own workload. Candidates without hands-on industry experience, a clear sub-domain specialty, or eligibility in the United States and Canada will find the role less suitable. Reviewers turn down many applicants who list broad EE skills but cannot show specific projects, tools, or measurable outcomes, and submissions with vague feedback or weak written explanations also score low.

Salary Insight