# Electrical Engineer, AI Expert (Full-Time, US)

> Weekday AI · United States (Remote) · Contract · Posted 2026-11-12

**Workplace:** remote

**Department:** AI Training

## Description

**This role is for one of our clients**

**Compensation: $80-$120 per hour**

**Location:** Remote (United States)  
**Preferred Location:** San Francisco Bay Area  
**Employment Type:** Full-Time, W-2  
**Work Commitment:** 40 hours per week  
**Initial Engagement:** 3–4 months, with a strong possibility of extension

## Job Overview

We are seeking experienced Electrical Engineers with strong, hands-on industry expertise in circuit design, power systems, power electronics, or embedded hardware to contribute to the development of next-generation Generative AI models.

In this role, you will bring practical engineering knowledge and technical judgment to help improve the accuracy, reliability, and problem-solving capabilities of advanced AI systems. You will collaborate with research and engineering teams at a leading AI lab, helping create high-quality training data, develop challenging engineering tasks, and evaluate AI-generated solutions across electrical engineering domains.

The ideal candidate has substantial experience working on real-world engineering projects, understands industry design standards and constraints, and can distinguish technically sound solutions from plausible but incorrect engineering recommendations.

This is a full-time, remote W-2 employment opportunity within the United States, with candidates based in the San Francisco Bay Area strongly preferred.

## Requirements

## Key Responsibilities

-   Collaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across electrical engineering disciplines.
-   Develop challenging, domain-specific engineering tasks and create accurate, well-structured reference solutions covering circuit analysis, circuit design, power systems, power electronics, embedded systems, and control engineering.
-   Evaluate electrical engineering problems and AI-generated responses, identifying incorrect assumptions, calculation errors, unit and sign inconsistencies, violated design constraints, and potentially unsafe recommendations.
-   Provide detailed written technical feedback to improve the accuracy, reliability, and practical applicability of AI-generated engineering solutions.
-   Develop evaluation guidelines, technical specifications, and detailed grading rubrics to assess engineering reasoning across:

-   Analog and mixed-signal circuit design.
-   RF engineering and signal processing.
-   PCB and board-level design.
-   Power distribution and power electronics.
-   Embedded hardware and control systems.

-   Assess whether proposed engineering solutions align with real-world design requirements, technical standards, and implementation constraints.
-   Collaborate with other subject-matter experts to maintain consistency, technical accuracy, and quality across AI training datasets.

## Required Qualifications

-   Bachelor's degree or higher in Electrical Engineering, Electrical and Computer Engineering, or a closely related engineering discipline.
-   Minimum of 5 years of hands-on professional experience in electrical engineering within an industry environment.
-   Experience working in one or more relevant sectors, including:

-   Semiconductor and electronics manufacturing.
-   Consumer electronics.
-   Power generation, transmission, and utilities.
-   Aerospace and defense.
-   Automotive and electric vehicles (EV).
-   Robotics and industrial automation.
-   Telecommunications.
-   Medical devices.

-   Demonstrated ownership of practical engineering projects, such as circuit or PCB design, hardware development and bring-up, circuit simulation, power system specification, design reviews, validation, and production readiness.
-   Working knowledge of commonly used engineering tools and software, such as SPICE/LTspice, Cadence, Altium, KiCad, MATLAB/Simulink, or ETAP.
-   Familiarity with relevant engineering codes and industry standards, including IEEE, NEC, IPC, or UL.
-   Demonstrable career progression toward senior, technical lead, or engineering leadership responsibilities.
-   Practical experience using large language models (LLMs) in a professional setting, with the ability to critically evaluate AI-generated technical content.
-   Strong analytical and problem-solving skills, with the ability to identify technically incorrect or impractical engineering recommendations.
-   Excellent written communication skills and the ability to explain complex engineering concepts and technical decisions clearly.
-   Ability to commit to 40 hours per week during weekdays.

## Preferred Qualifications

-   Professional Engineer (PE) license.
-   Experience leading engineering projects or overseeing technical design and validation processes.
-   Exposure to multidisciplinary hardware development and cross-functional engineering teams.
-   Experience evaluating AI models, developing technical benchmarks, or creating structured engineering assessment rubrics.

## Employment Details

-   **Work Arrangement:** Fully remote within the United States.
-   **Preferred Location:** San Francisco Bay Area.
-   **Employment Type:** Full-time, W-2 employment.
-   **Work Schedule:** 40 hours per week, Monday to Friday.
-   **Initial Duration:** 3–4 months.
-   **Extension:** Strong possibility of extension based on project requirements and performance.
-   **Work Environment:** Collaborate directly with teams at a leading AI lab on high-impact AI research and development initiatives.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/070DD3AC33/apply)

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