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Electrical Engineer

DataAnnotation · Remote · Translation / linguistics

Electrical Engineer is an open role at DataAnnotation, available remotely, with pay listed as Up to $125/hr.

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At a glance

Pay
Up to $125/hrEstimate, from DataAnnotation’s own wording
Location
Remote
Listed
Since Oct 24, last confirmed Oct 24

As listed by DataAnnotation: “Up to $125+/hr”

How the pay compares

This role (estimated)$125
Translation / linguistics median$49
All roles median$60

Higher than 92% of the 84 distinct hourly rates advertised for Translation / linguistics roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From DataAnnotation’s listing

“Overview 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.”
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Overview 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.

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.

Roles this fits Common backgrounds: Electrical Engineer, Power Engineer, Systems Engineer.

What we look for 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. Strong command of circuit analysis and design tradeoffs, and the ability to defend component-l

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Frequently asked questions

How do I apply for the Electrical Engineer role at DataAnnotation?

Applications go through DataAnnotation's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. DataAnnotation's access model is "Open / self-serve" (Open application). This listing was first seen here on October 24, 2026 and was still live at the last check.

Is the Electrical Engineer role at DataAnnotation remote?

Yes - DataAnnotation lists this role as remote.

What does the Electrical Engineer role at DataAnnotation pay?

DataAnnotation indicates Up to $125/hr for this role, but hedges the figure rather than committing to it. Treat it as an indication: HumanSourcer flags hedged pay instead of presenting it as a firm rate, and the listing's own wording is quoted in the Pay section above.

What kind of work is Electrical Engineer?

Translation / linguistics. Generalist and expert AI training; coding, STEM, law, medicine, writing

Is DataAnnotation a legitimate AI-training platform?

Reported worker-facing operating brand - and that relationship is rated "High - reported, not disclosed on portal" here because it can be checked against nymag.com rather than taken on DataAnnotation's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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