Mercor · Finance & specialist
Pediatric Inpatient Nurses (RN)
Listed on Mercor as “Pediatric Inpatient Nurses (RN)”
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 (Pediatric Inpatient Nurses (RN)) reflects the rate band and the expertise required, not the day-to-day work.
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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
Overview
We're hiring experienced Pediatric Inpatient Nurses (RNs) to help train and evaluate AI systems used in clinical and healthcare settings. This role is ideal for nurses who want to apply their frontline pediatric bedside experience to improve the accuracy, safety, and reliability of medical AI tools.
You'll work on projects that require deep clinical judgment, attention to detail, and the ability to translate real-world bedside documentation practices into structured feedback for AI systems.
Key Responsibilities
- Review and evaluate AI-generated clinical outputs based on nursing flowsheet documentation
- Validate accuracy, completeness, and adherence to current documentation standards
- Annotate and structure inpatient pediatric nursing assessment data for AI training datasets
- Provide expert feedback on nursing assessments and documentation practices
- Identify gaps, inconsistencies, or risks in AI-generated responses
- Ask clarifying questions when annotation guidance is ambiguous, and contribute to guideline refinement
- Collaborate with technical teams to improve model performance
- Contribute to the development of high-quality clinical benchmarks
Basic Qualifications
- Active RN license (U.S., outside California)
- Recent pediatric acute care inpatient bedside experience, ideally in a non-procedural inpatient unit. Candidates should have worked in an inpatient bedside role within the past 10 years, with current or more recent documentation experience prioritized over total years of nursing experience.
- Comfortable performing and documenting comprehensive pediatric nursing assessments
- Comfortable following detailed annotation guidelines consistently
- Excellent written communication skills and responsiveness to feedback
- Ability to work independently and meet deadlines
Preferred Qualifications
- Epic EHR experience (most common platform, closely aligns with many workflows)
- Comfortable learning new annotation tools and web-based platforms
- Able to navigate transcripts efficiently and use AI-assisted tools appropriately while still verifying outputs
- Experience reviewing charts for quality improvement, utilization review, CDI, or clinical informatics
- Previous annotation, chart abstraction, or healthcare AI experience
- Comfortable discussing edge cases and contributing to guideline refinement
Quoted from Mercor’s public listing on 2026-09-08. 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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