Mercor · Finance & specialist
Registered Nurses (Data labelling and training)
Listed on Mercor as “Registered Nurses (Data labelling and training)”
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 (Registered Nurses (Data labelling and training)) reflects the rate band and the expertise required, not the day-to-day work.
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
We’re seeking experienced Registered Nurses (RNs) to support the development of AI-powered healthcare products. This role involves applying clinical expertise to review medical documentation, evaluate healthcare workflows, and collaborate with product and engineering teams to improve healthcare technology solutions.
Key Responsibilities
- Review and assess clinical documentation for accuracy, completeness, and quality.
- Analyze healthcare workflows and recommend process improvements.
- Interpret patient records and clinical notes to support product development.
- Identify documentation gaps, inconsistencies, and edge cases.
- Collaborate with product, engineering, and operations teams to refine AI-driven healthcare tools.
- Ensure adherence to healthcare regulations, policies, and best practices.
Required Qualifications
- Active Registered Nurse (RN) license.
- 3-5+ years of clinical nursing experience.
- Strong understanding of clinical documentation and healthcare workflows.
- Experience working with EHR systems (Epic, Cerner, Meditech, etc.).
- Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
- Experience in CDI, case management, utilization review, or quality improvement.
- Exposure to healthcare technology, AI tools, or digital health products.
- Ability to collaborate effectively with cross-functional teams.
Quoted from Mercor’s public listing on 2026-07-07. 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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