Electrical Engineer, AI Expert

Weekday (YC W21)

. Collaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across electrical engineering disciplines .

Posted 11/12/2026full-timeRemote • United StatesMid-LevelSenior💰 $80 - $120 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in electrical engineering with a focus on circuit design, power systems, and embedded systems, while effectively collaborating with AI teams to enhance model performance and technical accuracy. Strong analytical skills and the ability to provide detailed technical feedback are essential for evaluating engineering solutions and ensuring compliance with industry standards.

Highest-signal resume keywords

Electrical Engineering Degree5+ Years Industry ExperienceCircuit Design and PCB DevelopmentSPICE/LTspice and MATLAB/Simulink ProficiencyExperience with AI Model Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Circuit AnalysisPower SystemsEmbedded SystemsControl EngineeringAnalog and Mixed-Signal Circuit DesignRF EngineeringSignal ProcessingPower ElectronicsCircuit SimulationTechnical Specifications Development

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten Communication Skills

Tools & Technologies

SPICE/LTspiceCadenceAltiumKiCadMATLAB/SimulinkETAP

Certifications & Qualifications

Professional Engineer (PE) License

Industry Keywords

Semiconductor ManufacturingConsumer ElectronicsPower GenerationAerospace and DefenseAutomotive and Electric VehiclesRoboticsTelecommunicationsMedical Devices

About the role

Key responsibilities & impact

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, circuit design, power systems, power electronics, embedded systems, and control engineering
Evaluate electrical engineering problems and AI-generated responses for incorrect assumptions, calculation errors, unit and sign inconsistencies, violated design constraints, and 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 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 proposed engineering solutions against 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
Work directly with teams at a leading AI lab on high-impact AI research and development initiatives

Requirements

What you’ll need

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 in one or more relevant sectors: semiconductor and electronics manufacturing; consumer electronics; power generation, transmission, and utilities; aerospace and defense; automotive and electric vehicles; robotics and industrial automation; telecommunications; medical devices
Demonstrated ownership of practical engineering projects, including circuit or PCB design, hardware development and bring-up, circuit simulation, power system specification, design reviews, validation, and production readiness
Working knowledge of SPICE/LTspice, Cadence, Altium, KiCad, MATLAB/Simulink, or ETAP
Familiarity with IEEE, NEC, IPC, or UL engineering codes and industry standards
Demonstrable career progression toward senior, technical lead, or engineering leadership responsibilities
Practical experience using large language models (LLMs) in a professional setting and ability to critically evaluate AI-generated technical content
Strong analytical and problem-solving skills
Excellent written communication skills and ability to explain complex engineering concepts and technical decisions clearly
Ability to commit to 40 hours per week during weekdays
Professional Engineer (PE) license preferred
Experience leading engineering projects or overseeing technical design and validation processes preferred
Exposure to multidisciplinary hardware development and cross-functional engineering teams preferred
Experience evaluating AI models, developing technical benchmarks, or creating structured engineering assessment rubrics preferred

Benefits

Comp & perks

Full-time W-2 employment
Strong possibility of extension after the initial 3–4 months
Fully remote work within the United States
40-hour workweek, Monday to Friday