Mercor · Finance & specialist
Electrical Engineering & Simulation Expert — Hephaestus - review AI outputs in your specialty
Listed on Mercor as “Electrical Engineering & Simulation Expert - Hephaestus”
How this rate compares
This listing
$70–$90 per hour
Typical in Finance & specialist
$60–$100 per hour
Within the typical range
Typical: the middle of the lowest and highest rates posted by 336 listings in this category on Seoulstart, in US dollars.
What this actually is
You bring your specialist expertise to AI evaluation. The shape of the work varies but the pattern is the same: review outputs, rate quality, write prompts, flag errors. The platform title (Electrical Engineering & Simulation Expert - Hephaestus) reflects the rate band and the expertise required, not the day-to-day work.
How Mercor picks people
- Upload your CV and answer the role's written questions.
- Do a video interview with Mercor's AI interviewer. Most take about 20 minutes, in English unless the role says otherwise.
- Some roles add a skills test. A test you pass once counts for similar roles.
- The project team reviews your results and sends offers to the people it picks.
Before you start
- Take Mercor's free practice interview first. It does not count toward any application.
- Use Chrome on a computer with a camera and microphone, in a quiet room.
- You can retake an official interview up to 3 times, but hiring teams see how many times you retook it.
Not every applicant gets an offer. Prepare well for the interview.
How to prepare for the Mercor interview
Source: Mercor's help pages. talent.docs.mercor.com
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
Role Overview
Mercor is seeking experienced electrical engineers to build and validate technical tasks for AI systems working with circuits, power electronics, control systems, and electrical infrastructure. The work centers on executable engineering models, simulation, debugging, and measurable verification.
Contributors create the native engineering files and reference solutions behind each task, run the relevant analyses, and define checks that distinguish a working design from a plausible but incorrect result. Tasks may follow a US standards track (NEC / NFPA 70, NESC, IEEE) or an international track (IEC), as appropriate to the engineering problem.
Key Responsibilities
- Build realistic tasks in one or more specialties: circuit and PCB design, power electronics, power systems, embedded systems, or industrial controls.
- Create and debug schematics, SPICE netlists, component models, control logic, and other native technical artifacts needed to reproduce a task.
- Configure operating points, initial conditions, parameter sweeps, transient or steady-state analyses, and fault cases. Assess convergence, model assumptions, and the physical validity of results.
- Develop reference solutions and verification code that checks outputs such as voltage, current, efficiency, losses, timing, stability, protection behavior, and design constraints, with explicit units and tolerances.
- Package model files, dependencies, scripts, and results so another engineer can reproduce the work. Validate checks against both correct and deliberately incorrect cases.
- Review AI-generated engineering artifacts and diagnose failures in the design, simulation setup, or verifier. Use coding agents where helpful while independently checking their output.
Ideal Qualifications
- 5+ years of professional electrical engineering experience, with direct ownership of circuit designs, power systems, controls, or product validation.
- Recent hands-on experience with relevant tools such as KiCad, Altium, Cadence, SPICE/ngspice, MATLAB/Simulink, or equivalent engineering software. Expertise in every listed tool is not required.
- Ability to write, inspect, and debug Python or comparable scripts for simulation automation, data analysis, and numerical checks.
- Sound judgment about component behavior, numerical accuracy, safety margins, and applicable standards; ability to distinguish simulation predictions from measured laboratory evidence.
- Clear technical writing and a disciplined approach to documenting assumptions, reproducibility, and failure modes.
- A professional engineering credential and experience with test automation, engineering training, or evaluation design are a plus.
Compensation
- Writers: $70-$80/hour.
- Reviewers: $90/hour.
Quoted from Mercor's public listing on 2026-11-13. We don't edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
Mercor review: AI-interview talent network
4.1/5 on Glassdoor, fastest-growing platform in the category (+509% YoY). What the AI video interview actually asks, real pay across coding/research/medical/legal/finance tracks ($25-$200/hr), and the project-availability problem.
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