Pediatric Inpatient Nurses (RN)

Mercor; United States; Remote; USD 55.000 - 137.000; Teilzeit

Zusammenfassung

Mercor is seeking experienced Pediatric Inpatient Nurses (RNs) to train and evaluate AI systems used in clinical settings. You will translate bedside documentation practices into structured feedback for AI systems and help improve model accuracy and safety.

The role requires frontline pediatric nursing expertise, meticulous documentation, and the ability to communicate findings clearly. This is a fully remote independent contractor position with weekly payments via Stripe or Wise.

Qualifikationen

• Active RN license (US) outside California.
• Recent pediatric acute care inpatient bedside experience, ideally in a non-procedural inpatient unit.
• 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.

Aufgaben

• 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.

Kenntnisse

Active RN license (US)

Pediatric acute care inpatient bedside

Comprehensive pediatric assessments

Follow annotation guidelines

Strong written communication

Independent, deadline-driven

Tools

Epic EHR

Annotation tools

Jobbeschreibung

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

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.


• This is a fully remote role that can be completed on your own schedule.


• Projects can be extended, shortened, or concluded early depending on needs and performance.


• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.


• Payments are weekly on Stripe or Wise based on services rendered.


• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.