Develop enterprise electrical engineering evaluation scenarios, reference designs, technical analyses, and rubrics for AI systems. Work spans power systems, grid infrastructure, semiconductor and PCB design, embedded systems, signal processing, and control systems. Apply circuit simulation, EMC/EMI compliance, control theory, reliability analysis, and US or international electrical standards. The role is fully remote, contract-based, and requires substantial senior-level industry experience.
This role is for one of our clients
Compensation: $70 - $80 per hour
We are seeking senior electrical engineering professionals to build evaluation tasks for AI systems operating in Fortune 500 enterprise electrical systems and product design contexts.
The workflows are calibrated to the design complexity, safety stakes, and production scale of Fortune 500 and large industrial and technology manufacturers.
This role builds worlds on two standards tracks: an International track (IEC) and a US track (NEC / NFPA 70, NESC, IEEE). Experts qualified in either or both tracks are encouraged to apply.
Contributors design enterprise electrical engineering scenarios, draft reference outputs, and write rubrics that capture how senior F500 engineering leaders think.
Requirements
Key Responsibilities
- Construct enterprise electrical engineering scenarios spanning complex circuit and systems design cycles, multi-stakeholder design reviews, and manufacturing or regulatory certification processes at F500 accounts.
- Build tasks across F500 power systems and grid infrastructure, semiconductor and PCB design, embedded systems and firmware, signal processing, and control systems engineering.
- Develop engineering scenarios involving tools such as Altium Designer, Cadence, MATLAB/Simulink, SPICE simulation platforms, and enterprise PLM/EDA systems in F500 stacks.
- Apply enterprise electrical engineering methodologies (circuit analysis and simulation, EMC/EMI compliance, control theory, reliability and failure mode analysis) against the standards track a world targets (US: NEC / NFPA 70, NESC, IEEE; International: IEC), and produce reference design specifications, engineering analyses, and executive-level technical narratives.
- Author rubrics that distinguish authentic enterprise electrical engineering judgment from generic textbook or coursework-level recall.
Ideal Qualifications
- 5+ years working as an electrical engineer or engineering lead at a Fortune 500 or major technology, industrial, or energy company (Intel, Texas Instruments, GE, Siemens, Tesla, ABB, Schneider Electric).
- Direct ownership of large-scale circuit designs, power systems, or engineering certification programs.
- Fluency in enterprise electrical engineering tooling and methodologies, plus understanding of how safety standards, regulatory certification (NEC / NFPA 70, IEEE, UL, FCC, IEC), and cross-functional design governance actually work.
- A professional engineering credential (US PE or an international equivalent such as CEng or EUR ING) and prior rubric, engineering-training curriculum, or design documentation authorship are a plus.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
Similar Jobs
Artificial Intelligence • HR Tech • Professional Services • Software
Part-time remote role reviewing and improving AI-generated electrical engineering content. Provide expert answers, identify technical inaccuracies, recommend standards/resources, and share practical engineering workflows and documentation to improve AI model quality.
Top Skills:
Autocad ElectricalChatgptEtapMatlabSimulinkSpice
Artificial Intelligence • HR Tech • Professional Services • Software
Serve as a domain expert in electrical engineering to identify and close knowledge gaps in LLMs. Collaborate with research teams to design and evaluate complex problems, provide detailed written feedback, and improve AI model performance. Remote, contractor role with weekly pay and flexible hours.
Top Skills:
Ai ModelsLarge Language Models
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads an engineering team developing autonomous vehicle evaluation platforms, metrics, workflows, dashboards, and analysis tools for simulation and on-road testing. Sets technical direction, guides statistical and machine learning evaluation methods, oversees performance analysis across perception, prediction, and planning, and supports release gating and risk assessment. Responsibilities include hiring, coaching, architectural decisions, cross-functional collaboration, code quality, observability, and translating system-level results into actionable engineering and leadership insights.
Top Skills:
C++LlmsNumpyPandasPythonPyTorchRosScipySQLVlms
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
