{"id":4186059,"url":"https://alion.io/job/weekday-electrical-engineer-ai-expert-full-time-us","title":"Electrical Engineer, AI Expert (Full-Time, US)","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":117,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Hardware","role_family":"Hardware","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":80,"max":120,"currency":"USD","period":"hour","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETAP","optional":false},{"name":"KiCad","optional":false},{"name":"LTspice","optional":false},{"name":"MATLAB","optional":false},{"name":"Simulink","optional":false}],"status":"live","first_seen_at":"2026-11-12T18:17:58Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T18:17:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of our clients\nCompensation: $80-$120 per hour\nLocation: Remote (United States)\nPreferred Location: San Francisco Bay Area\nEmployment Type: Full-Time, W-2\nWork Commitment: 40 hours per week\nInitial Engagement: 3-4 months, with a strong possibility of extension\nJob Overview\nWe 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.\nIn 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.\nThe 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.\nThis is a full-time, remote W-2 employment opportunity within the United States, with candidates based in the San Francisco Bay Area strongly preferred.\nRequirements\nKey Responsibilities\nCollaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across electrical engineering disciplines.\nDevelop 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.\nEvaluate electrical engineering problems and AI-generated responses, identifying incorrect assumptions, calculation errors, unit and sign inconsistencies, violated design constraints, and potentially unsafe recommendations.\nProvide detailed written technical feedback to improve the accuracy, reliability, and practical applicability of AI-generated engineering solutions.\nDevelop evaluation guidelines, technical specifications, and detailed grading rubrics to assess engineering reasoning across:\nAnalog and mixed-signal circuit design.\nRF engineering and signal processing.\nPCB and board-level design.\nPower distribution and power electronics.\nEmbedded hardware and control systems.\nAssess whether proposed engineering solutions align with real-world design requirements, technical standards, and implementation constraints.\nCollaborate with other subject-matter experts to maintain consistency, technical accuracy, and quality across AI training datasets.\nRequired Qualifications\nBachelor's degree or higher in Electrical Engineering, Electrical and Computer Engineering, or a closely related engineering discipline.\nMinimum of 5 years of hands-on professional experience in electrical engineering within an industry environment.\nExperience working in one or more relevant sectors, including:\nSemiconductor and electronics manufacturing.\nConsumer electronics.\nPower generation, transmission, and utilities.\nAerospace and defense.\nAutomotive and electric vehicles (EV).\nRobotics and industrial automation.\nTelecommunications.\nMedical devices.\nDemonstrated 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.\nWorking knowledge of commonly used engineering tools and software, such as SPICE/LTspice, Cadence, Altium, KiCad, MATLAB/Simulink, or ETAP.\nFamiliarity with relevant engineering codes and industry standards, including IEEE, NEC, IPC, or UL.\nDemonstrable career progression toward senior, technical lead, or engineering leadership responsibilities.\nPractical experience using large language models (LLMs) in a professional setting, with the ability to critically evaluate AI-generated technical content.\nStrong analytical and problem-solving skills, with the ability to identify technically incorrect or impractical engineering recommendations.\nExcellent written communication skills and the ability to explain complex engineering concepts and technical decisions clearly.\nAbility to commit to 40 hours per week during weekdays.\nPreferred Qualifications\nProfessional Engineer (PE) license.\nExperience leading engineering projects or overseeing technical design and validation processes.\nExposure to multidisciplinary hardware development and cross-functional engineering teams.\nExperience evaluating AI models, developing technical benchmarks, or creating structured engineering assessment rubrics.\nEmployment Details\nWork Arrangement: Fully remote within the United States.\nPreferred Location: San Francisco Bay Area.\nEmployment Type: Full-time, W-2 employment.\nWork Schedule: 40 hours per week, Monday to Friday.\nInitial Duration: 3-4 months.\nExtension: Strong possibility of extension based on project requirements and performance.\n Work Environment: Collaborate directly with teams at a leading AI lab on high-impact AI research and development initiatives.","description_format":"text","description_chars":5215,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer 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