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.