Overview
DataAnnotation is looking for an experienced Electronics 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.
What you’ll actually do
- 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 and judge the output against your professional standard.
- Compare two model versions on identical prompts and call which performed better, and where each fell short.
- Critique model-generated derivations, schematics, component selections, and calculations, and write the reasoning behind your call.
- 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
- Analog, RF, and mixed-signal circuits.
- Electromagnetics and antennas.
- Control and systems.
- Devices and materials.
- Signal processing and photonics.
- Power and energy systems.