Electrical Engineer, AI Expert

Job not on LinkedIn

🔥 41 minutes ago

🇺🇸 United States – Remote

💵 $80 - $120 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔋 Electrical Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
• 130 open roles for a team of 134.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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

• 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

• 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

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