Mercor · Finance & specialist
Systems & Integration Engineering Experts
Listed on Mercor as “Systems & Integration Engineering Experts”
How this rate compares
This listing
$100–$120 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 (Systems & Integration Engineering Experts) 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
Mercor is seeking experienced Systems & Integration Engineers to support an advanced engineering and AI research initiative with a leading technology organization. We are looking for deeply hands-on engineers who have integrated, tested, validated, debugged, qualified, or analyzed complex real-world hardware and electromechanical systems in production environments.
Relevant backgrounds include:
- Systems Engineering
- Integration & Test Engineering
- Reliability / Failure Analysis Engineering
- Manufacturing Test Engineering
This role is particularly well suited for engineers who have worked directly on complex physical products and can bring practical engineering judgment to system integration, verification and validation, reliability, root-cause analysis, manufacturing test, and cross-functional hardware troubleshooting.
Key Responsibilities
- Apply hands-on systems, integration, reliability, and test engineering expertise to technically complex problems involving real physical products and hardware systems.
- Review and evaluate system requirements, interfaces, integration plans, verification strategies, test procedures, qualification approaches, reliability analyses, and manufacturing test workflows.
- Analyze system-level interactions across electrical, mechanical, firmware/software, thermal, controls, and manufacturing domains.
- Assess the technical correctness and practical feasibility of engineering solutions, test strategies, troubleshooting approaches, and system-level decisions.
- Diagnose integration failures and identify root causes, interface issues, design deficiencies, reliability risks, manufacturing defects, and test coverage gaps.
- Develop or review technically rigorous engineering problems, reference solutions, test cases, verification criteria, failure analyses, and technical documentation.
- Draw on practical experience with prototype integration, bring-up, verification and validation, qualification, environmental testing, reliability testing, production test, and field failure investigation.
- Provide clear technical feedback grounded in real-world hardware development, testing, and production experience.
You’re a Strong Fit If You Have
- 5+ years of professional systems, integration, reliability, or test engineering experience, including at least 3 years of recent, actively hands-on experience with hardware integration, test, validation, qualification, failure analysis, manufacturing test, or troubleshooting-not solely program or people management.
- Demonstrated experience as the responsible engineer for complex physical systems or hardware products, owning meaningful portions of the lifecycle from requirements and interface definition through integration, verification, qualification, production readiness, and field support.
- Deep technical expertise in at least one core domain: systems engineering and requirements/V&V; hardware integration and test; reliability engineering and failure analysis; or manufacturing/production test engineering.
- Strong practical command of requirements traceability, interface management, verification and validation, test planning, FMEA/FMECA, fault isolation, root-cause analysis, reliability, qualification, environmental testing, design-for-test, manufacturing yield, and system-level failure modes, as applicable to the candidate's specialization.
- Extensive hands-on experience integrating, instrumenting, testing, debugging, and characterizing physical hardware, using relevant laboratory equipment, data-acquisition systems, automated test infrastructure, environmental test equipment, diagnostic tools, and structured failure-analysis methodologies.
- Proven experience developing and validating hardware in real-world product or manufacturing environments, ideally across aerospace/defense, space, automotive/EV, semiconductors, consumer electronics, robotics/eVTOL, industrial/energy, or medical devices-e.g., Lockheed Martin, RTX, Boeing, Blue Origin, Rocket Lab, Tesla, Rivian, NVIDIA, Qualcomm, Intel, Apple, Google, Meta, Skydio, Shield AI, Joby, Boston Dynamics, Siemens, GE Aerospace, ABB, Medtronic, or Intuitive Surgical-with the ability to clearly explain system decisions, integration trade-offs, test results, root causes, and failure mechanisms.
Preferred Background
Experience working for a company that designs, builds, integrates, tests, and manufactures complex physical hardware systems is strongly preferred. Relevant organizations may include, but are not limited to:
- Aerospace & Defense:
Lockheed Martin, Northrop Grumman, RTX, Boeing, General Atomics, L3Harris, BAE Systems, General Dynamics, Honeywell Aerospace, Textron
- Space:
Blue Origin, Rocket Lab, Relativity Space, Firefly Aerospace, Sierra Space, Astranis, Planet, Maxar, Axiom Space
- Automotive & EV:
Tesla, Rivian, General Motors, Ford, Lucid, Waymo, Zoox, Aptiv, Bosch
- Semiconductors:
NVIDIA, Qualcomm, Intel, Analog Devices, Texas Instruments, Broadcom, Marvell, Micron, NXP, Infineon
- Consumer Electronics & Computing:
Apple, Google Hardware, Meta Reality Labs, Microsoft Devices, Amazon, Samsung, Garmin, Sonos
- Drones, eVTOL & Robotics:
Skydio, Shield AI, Zipline, Joby Aviation, Archer Aviation, Boston Dynamics, Figure, Agility Robotics, Wing
- Industrial, Energy & Medical Devices:
Siemens, GE Aerospace, GE Vernova, ABB, Schneider Electric, Rockwell Automation, Enphase, Medtronic, Intuitive Surgical
Candidates from comparable hardware-focused organizations are equally encouraged to apply.
Why Join
- Apply your systems and integration expertise to technically challenging problems at the intersection of advanced hardware engineering and AI research.
- Work on projects where practical experience with real hardware integration, verification, reliability, failure analysis, and production testing is highly valued.
- Help improve how advanced AI systems reason about complex systems, interfaces, verification and validation, troubleshooting, reliability, manufacturing, and hardware failures.
- Contribute remotely with flexible engagement structures alongside experienced engineers and researchers.
- Work on problems requiring genuine engineering judgment and hands-on industry experience rather than purely theoretical systems knowledge.
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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