Mercor
Inpatient RN - Clinical Annotator
Skills
1 month ago
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Important information
Contract type:
Part time
Location:
New York, NY, USA
Work mode:
Remote
Published on:
24 September 2026
What they need
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: RN Annotators
Type: Contract Compensation: $55–$65/hour Location: Remote Role Responsibilities
- Review and evaluate AI-generated clinical outputs based on nursing documentation.
- Validate accuracy, completeness, and adherence to current documentation standards.
- Annotate and structure inpatient 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.
- Collaborate with engineers, PMs, and clinical scientists to improve model performance.
Qualifications Must-Have
- Active RN license (U.S., outside California).
- Recent acute-care inpatient bedside RN experience within the last 5 years.
- Broad clinical exposure across different inpatient populations.
- Comfortable performing and documenting comprehensive nursing assessments.
- Comfortable following detailed annotation guidelines consistently.
- Self-starter with high ownership who can work independently and meet deadlines.
- Excellent written communication skills and responsiveness to feedback.
- Able to reliably and consistently dedicate a minimum of 10 hours per week.
Preferred
- Experience at a large academic or teaching health system.
- Previous data annotation, chart abstraction, or healthcare-AI experience.
- Epic EHR experience.
- Comfortable learning new annotation tools and web-based platforms.
- Curious and adaptable to changing processes.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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