Mercor · Finance & specialist
Network Engineering & Simulation Expert — Hephaestus - review AI outputs in your specialty
Listed on Mercor as “Network 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 345 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 (Network 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 network engineers to build and validate technical tasks for AI systems working with enterprise, data-center, and service-provider networks.
The work focuses on executable network configurations, reproducible simulated or emulated topologies, troubleshooting, and measurable verification. Contributors create the network artifacts and reference solutions behind each task and test whether a proposed configuration produces the required behavior.
Key Responsibilities
- Design realistic tasks involving routing, switching, network services, segmentation, access policies, redundancy, or performance.
- Build reproducible network topologies and device configurations using relevant tools such as containerlab, GNS3, EVE-NG, Mininet, ns-3, FRRouting, or equivalent platforms.
- Configure and debug scenarios involving technologies such as BGP, OSPF, VLANs, IPv4/IPv6, DNS, DHCP, NAT, VPNs, or firewalls, within your area of expertise.
- Develop automated checks for reachability, route selection, policy enforcement, isolation, convergence, failover, latency, throughput, and packet loss. Use tests of live behavior alongside configuration inspection.
- Produce reference configurations, traffic or failure scenarios, and verification scripts; validate both successful and deliberately incorrect cases.
- Package topology files, configuration dependencies, scripts, packet captures, and results so another engineer can reproduce the outcome.
- Review AI-generated configurations and diagnose the cause of failures. Use coding agents to support automation while independently validating network behavior.
Ideal Qualifications
- 5+ years of professional network engineering experience, with direct ownership of enterprise, data-center, cloud, or service-provider networks.
- Strong hands-on routing, switching, troubleshooting, and network-policy skills.
- Experience building network labs, simulations, or emulations and analyzing traffic with tools such as Wireshark, tcpdump, or iperf. Familiarity with every listed platform is not required.
- Ability to write and debug Python, shell, Ansible, or comparable automation for repeatable setup and verification.
- Sound judgment about protocol behavior, failure modes, measurement limitations, and differences between simulated and production networks.
- Clear technical communication. Relevant certifications such as CCNP, CCIE, or JNCIP, and experience with network test automation, 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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