Skip to content
HumanSourcer

Electrical Engineering

Alignerr · Remote · Data annotation / labeling

Electrical Engineering is an open role at Alignerr, available remotely, with pay listed as $35–$60/hr.

Apply at Alignerr →

Applications open on Alignerr’s own site. How we make money.

At a glance

Pay
$35–$60/hrStated by Alignerr
Location
Remote
Listed
Since Oct 4, last confirmed Oct 23

How the pay compares

This role$60
Alignerr median$75
Science / STEM roles median$80
All roles median$60

Higher than 23% of the 117 distinct hourly rates advertised for Science / STEM roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Alignerr’s listing

“Electrical Engineering Expert (AI Training) About the Role We're looking for electrical engineering experts to help train and improve the next generation of AI models.”
Show the full listing

Electrical Engineering Expert (AI Training) About the Role We're looking for electrical engineering experts to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from circuit analysis to power systems to signal processing. This is a fully remote, flexible contract role where your expertise becomes the benchmark for AI excellence. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Design Challenging Problems — Create advanced electrical engineering problems across domains such as circuit analysis, power systems, electromagnetics, signal processing, and control systems to rigorously test AI performance Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as the gold-standard benchmark for AI learning and evaluation Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and compliance with engineering standards (e.g., IEEE, NEC) Refine AI Reasoning — Identify logical flaws in AI-generated engineering reasoning and provide structured feedback to improve model performance Work Independently — Manage your own schedule and contribute asynchronously on your own terms Who You Are Pursuing or have completed a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related discipline Strong foundational expertise in one or more core areas: VLSI, control systems, telecommunications, power electronics, embedded systems, or signal processing Able to communicate complex technical concepts clearly and precisely in written form Meticulous attention to detail — especially when working with mathematical equations, circuit logic, and technical documentation No prior AI experience required Nice to Have Experience with data annotation, data quality evaluation, or AI model evaluat

Open the listing on Alignerr →

Share this listing on RedditShare this listing on XShare this listing on LinkedIn

About Alignerr: part of Labelbox. See the full profile →

Similar open roles

See all 550 open Alignerr roles →

Frequently asked questions

How do I apply for the Electrical Engineering role at Alignerr?

Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.

Is the Electrical Engineering role at Alignerr remote?

Yes - Alignerr lists this role as remote.

What does the Electrical Engineering role at Alignerr pay?

Alignerr lists this role's pay as $35–$60/hr, quoted from the listing rather than estimated.

What kind of work is Electrical Engineering?

Data annotation / labeling. AI training, evaluation, coding, writing and specialist review

Is Alignerr a legitimate AI-training platform?

Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr'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.

Get new AI-training roles by email

One email a week: the new roles worth opening, what new listings pay, and a count from every network we track. No spam, unsubscribe anytime.

Free. See how we make money.

Apply at Alignerr →