DataAnnotation is looking for an experienced Electrical Engineer to evaluate how frontier AI models handle real electrical and electronics engineering work. You bring the judgment you have already built over years of designing, debugging, and shipping hardware. We bring engineering problems the models cannot yet solve on their own.

This is a new and growing area for our company, focused on teaching AI to reason correctly about circuits, systems, and physical constraints. Your engineering judgment, your standard for what counts as a correct answer, and the written rationale behind them become the signal that shapes the next generation of engineering tools. Design challenging, realistic engineering problems from your own practice: a circuit to specify, a control loop to stabilize, a power stage to size.

Run those problems through frontier AI models Flag concrete failures with evidence: wrong assumptions, sign and unit errors, unphysical results, invalid topologies, fabricated datasheet values, or off-brief interpretation.





Problems draw on whatever you know best: Control and systems. Devices and materials. Power and energy systems.

Electrical

Engineer, Power Engineer, Systems Engineer. Fluency in English (native or bilingual level). 2+ years of industry experience in circuit or electronics engineering.

Background in electrical engineering, electronics engineering, or a closely related discipline. Robust command of circuit analysis and design tradeoffs, and the ability to defend component-level and system-level decisions. Working comfort with AI tools, or the ability to pick them up quickly.

A current, in-progress, or completed Bachelor’s is preferred but not required. some make it their full-time income. DataAnnotation is where 100k+ experts train the world’s leading AI models. $Flexible, remote, and always project-available. #

📌 Hardware Engineer - AI Trainer (Ottawa)
🏢 DataAnnotation
📍 Ottawa