Pediatric Inpatient Nurses (RN)
Mercor · 100% remote · Contract · Posted
- Pay
- $55–65/hr
- Location
- United States
- Languages
- English
- Hours
- Flexible
- Openings
- Not listed
- Level
- Experienced
Summary
Review and evaluate AI-generated clinical outputs, validate accuracy against nursing documentation standards, and annotate pediatric inpatient assessment data for AI training.
What you'll do
- 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
Requirements
- Hold an active RN license (U.S., outside California)
- Have recent pediatric acute care inpatient bedside experience within the past 10 years
- Perform and document comprehensive pediatric nursing assessments
- Follow detailed annotation guidelines consistently
- Communicate in writing effectively and respond to feedback
- Work independently and meet deadlines
Skills
- Pediatric Nursing
- Clinical Documentation
- Epic EHR
- AI Annotation
- Medical Assessment
Full description
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
Location: open to applicants in United States.
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