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.