Embedded Systems & RF Engineer (Canada)

The work

You will create expert engineering scenarios and review AI-generated technical responses. Your work will test whether the answers are accurate, practical, well reasoned, and aligned with engineering standards.

• Create scenarios based on embedded design, development, testing, debugging, and deployment.
• Review answers about firmware architecture, real-time systems, signal analysis, RF design, communications, and hardware/software integration.
• Check technical calculations, methods, assumptions, and recommendations.
• Write clear feedback that explains problems and helps improve AI performance.
• Complete project tasks remotely and asynchronously at your own pace.

What it pays and takes

This is an ongoing, project-based contractor opportunity that can be completed alongside your current role. There is no set schedule or minimum-hour requirement.

• Pay: up to $96 per hour.
• Location: based in Canada.
• Language: professional fluency in English.
• At least two years of hands-on industry experience in embedded systems, DSP, RF, or a related engineering field.
• Strong knowledge of embedded firmware, real-time or safety-critical systems, digital signal processing, RF design, wireless communications, hardware/software integration, or embedded hardware testing.
• An MS or PhD in electrical engineering, electronics engineering, computer engineering, or a related field, or a BS in electrical or computer engineering combined with strong industry experience.
• Strong written communication, attention to detail, and the ability to explain complex engineering topics clearly.
• Ability to work independently in a remote, asynchronous setting.
• Helpful experience includes MATLAB/Simulink, Python, SPICE, LTspice, Altium, KiCad, GNU Radio, or similar tools.
• Helpful knowledge includes microcontrollers, microprocessors, FPGAs, SoCs, RF test equipment, software-defined radios, wireless standards, PCB design, signal integrity, power integrity, EMI/EMC, and hardware validation.
• Relevant industry backgrounds include embedded systems, semiconductors, telecommunications, aerospace, defense, automotive, consumer electronics, and engineering technology.

About AI training work

AI training is the human work behind systems that learn from examples and feedback. Experienced engineers are needed to judge whether AI-generated technical work is accurate, useful, and safe in real-world engineering settings.

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