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Brunel partners with DataAnnotation to connect experienced Electrical and Electronics Engineers with an AI training program. The role targets engineers who design, simulate, and debug real hardware across analog, RF and mixed-signal domains.
Fully remote, project-based work with a flexible schedule. Around 10 hours per week to start, with potential 30–40 hours per week; part-time considered. Compensation is USD/hour with PayPal payments.
Brunel is partnering with DataAnnotation to connect experienced Electrical and Electronics Engineers with an innovative AI training program. This opportunity brings together hands-on engineering expertise and artificial intelligence to help evaluate and improve how AI models handle real circuit and electronics work. Selected experts will contribute their knowledge to the development of high-quality, technically accurate AI systems.
This opportunity is designed for practicing engineers who currently design, simulate, and debug real hardware, across analog, RF and mixed-signal, power electronics, embedded and controls, signal processing, photonics, and board-level design.
Fully remote, project-based work with a flexible schedule. Around 10 hours per week is the recommended starting point; the project prioritizes engineers who can commit 30–40 hours per week, though part-time is considered.
$40–$125+ USD/hour, paid via PayPal
United States, Canada, United Kingdom, Ireland, and Australia/New Zealand
Skills assessment (1–3 hours)
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States will be considered for this role. This is an independent contractor position.