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.