Embedded Systems & RF Engineer Remote Canada
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks experienced embedded systems and RF engineers for part-time contract work that supports AI research. You will use your industry background in embedded firmware, DSP, RF and antenna design, or wireless communications to judge AI-generated content and show where it falls short. The project runs on an ongoing basis, so you can add it alongside a current engineering role. Tasks are self-paced and have no set schedule or minimum hours.
What You'll Do4
- 1Create expert engineering problems and scenarios that mirror real embedded, DSP, and RF design workflows.
- 2Review AI-generated responses for technical accuracy, practical feasibility, and alignment with industry practice.
- 3Write structured feedback that helps AI models reason like a working embedded or RF engineer.
- 4Complete assignments at your own pace with no fixed schedule or minimum hour requirement.
Requirements5
- 1MS or PhD in Electrical, Electronics, or Computer Engineering. A BS in EE or ECE also qualifies when paired with strong industry experience.
- 2At least 2 years of hands-on industry work in embedded systems, DSP, or RF.
- 3Deep expertise in one or more areas: embedded firmware, real-time systems, digital signal processing, RF and antenna design, or wireless communications.
- 4Familiarity with MATLAB/Simulink, Python, SPICE, LTspice, Altium, KiCad, or GNU Radio is a plus.
- 5Strong written communication, close attention to detail, and the ability to work on your own in a remote, asynchronous setting.
Who Should Apply
The role suits engineers who hold a graduate degree in electrical, electronics, or computer engineering, or a BS in EE or ECE backed by solid industry work. You need at least two years of hands-on embedded, DSP, or RF experience and depth in a specialty such as real-time systems, antenna design, or wireless communications. People who enjoy evaluating technical arguments and writing clear critiques will get more from this project than those who prefer pure hardware work. Candidates often score lower when they list coursework without industry projects, leave out named tools like MATLAB, Python, or KiCad, or give feedback that stays general instead of naming specific technical flaws. If your expertise centers on software engineering, web development, or another field outside embedded or RF work, this project may not match your background.
Salary Insight
Handshake AI lists pay at $96.00 per hour. For specialized AI training work in electrical engineering, that rate lines up with contributors who hold an advanced degree and at least two years of industry experience in embedded, DSP, or RF. The listing does not mention project length, benefits, or a pay range beyond the per hour figure, so ask about those details during the hiring process.
Pay and demand for Hardware & Embedded Systems roles
AggregatedTypical pay
$80/hour
This role
$96/hr
Most Hardware & Embedded Systems roles pay $65–$100 per hour. This role's pay falls inside that range.
Based on 107 similar roles that publish pay · 10 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 112
- Listed in last 30 days
- 74
- Remote
- 97%
Hiring most right now: micro1 (50) · Handshake AI (21) · Mercor (20)
Most requested skills · share of roles
- technical writing15%
- electrical engineering15%
- Rust15%
- Typescript13%
Figures from Hardware & Embedded Systems roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$96/hr
Required Skills
Application Tip
Name the exact area you know best, then pair it with proof: years in embedded firmware, DSP, RF, or wireless work and tools such as MATLAB, Simulink, Python, SPICE, LTspice, Altium, KiCad, or GNU Radio. Add a short sample of an expert-level problem you would create and the criteria you would use to judge an AI answer for feasibility. Specific technical language and degree details raise your fit score more than general statements about engineering skill.
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