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

Weekday AI

9h • $80 - $120 • Remote

About The Position

This full-time, remote W-2 role is for an Electrical Engineer who will contribute practical electrical engineering expertise to the development of next-generation generative AI models. The role focuses on improving the accuracy, reliability, and problem-solving capabilities of AI systems by creating high-quality training data, developing challenging engineering tasks, and evaluating AI-generated solutions across electrical engineering domains.

The engineer will collaborate with AI research and engineering teams and other subject-matter experts. The work includes assessing technical correctness, industry standards, design constraints, and implementation requirements, and providing detailed written feedback and evaluation materials. The initial engagement is 3–4 months, with a strong possibility of extension. The role is fully remote within the United States; candidates in the San Francisco Bay Area are preferred. The schedule is 40 hours per week, Monday through Friday.

Requirements

• Bachelor's degree or higher in Electrical Engineering, Electrical and Computer Engineering, or a closely related engineering discipline.
• At least 5 years of hands-on professional electrical engineering experience in an industry environment.
• Experience in one or more relevant sectors: semiconductor and electronics manufacturing, consumer electronics, power generation/transmission/utilities, aerospace and defense, automotive and electric vehicles, robotics and industrial automation, telecommunications, or 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, or 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 in a professional setting and the ability to critically evaluate AI-generated technical content.
• Strong analytical and problem-solving skills, including 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.

Nice To Haves

• 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.

Responsibilities

• Collaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across electrical engineering disciplines.
• Develop domain-specific engineering tasks and accurate reference solutions covering circuit analysis and 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 grading rubrics for engineering reasoning across analog and mixed-signal circuit design, RF engineering and signal processing, PCB and board-level design, power distribution and power electronics, and embedded hardware and control systems.
• Assess whether proposed engineering solutions align with real-world design requirements, technical standards, and implementation constraints.
• Collaborate with subject-matter experts to maintain consistency, technical accuracy, and quality across AI training datasets.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior