We are looking for Pediatric Inpatient Nurses (RN) candidates for a project delivered through Mercor.
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
What you need
- 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
Nice to have
- 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
Who you work with
Project and contracting process: Mercor. Applications continue on the provider's website.

