Electrical Engineering Expert (Canada)

AI Trainer Jobs; United States; Remote; USD 80,000 - 132,000; Part time

Job summary

AI Trainer Jobs is seeking an Electrical Engineering Expert for Canada with remote, part‑time, flexible hours. You will leverage 2+ years of hands‑on EE work to evaluate AI‑generated content and provide feedback that reflects real design and field work.

You will review technical responses, propose expert‑level scenarios, and deliver structured feedback at your own pace, with no fixed schedule. This ongoing, project‑based engagement suits engineers maintaining current roles.

Qualifications

• Industry experience — 2+ years of hands‑on EE work in industry.
• MS or PhD in Electrical, Electronics, or Computer Engineering. A BS in EE also qualifies when paired with strong industry experience.
• Strong written communication, attention to detail, and the ability to work independently in a remote, asynchronous environment.

Responsibilities

• 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.

Skills

Power systems

Semiconductors

Embedded systems

Education

MS or PhD in Electrical, Electronics, or Computer Engineering

Tools

MATLAB/Simulink

Python

SPICE

Cadence

KiCad

Verilog/SystemVerilog

Job description

ELECTRICAL ENGINEERING EXPERT (CANADA)

Up to $96/hr

Remote

Part-time

Flexible hours

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

• 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.