Pediatric Inpatient Nurse for AI Training

SaidGig; New York (NY); Remote; USD 76,000 - 90,000; Part time

Benefits offered by this job

Remote work

Job summary

SaidGig seeks a pediatric inpatient nurse to help improve AI tools used in clinical settings by translating real-world nursing documentation into structured feedback. You will review AI outputs, ensure accuracy against flowsheet data, and annotate nursing assessments for AI training datasets.

The role requires active US RN licensure and recent pediatric inpatient bedside experience, with strong written communication. This is a remote, hourly engagement with flexible scheduling.

Qualifications

• Active U.S. RN license is required.
• Recent pediatric acute-care inpatient bedside experience is required.
• Inpatient bedside experience within the past 10 years is valued.
• Ability to perform and document comprehensive pediatric nursing assessments.
• Ability to follow detailed annotation guidelines and meet deadlines.
• Excellent written communication and responsiveness to feedback.

Responsibilities

• Review AI-generated clinical outputs against nursing flowsheet documentation.
• Verify accuracy, completeness, and alignment with documentation standards.
• Annotate and organize pediatric inpatient nursing assessment data for AI training datasets.
• Provide clinical feedback on nursing assessments and documentation practices.
• Identify gaps, inconsistencies, and potential risks in AI-generated responses.
• Raise clarifying questions and refine annotation guidelines.
• Collaborate with technical teams to improve model performance.
• Contribute to high-quality clinical benchmarks.

Skills

Attention to detail

Clinical judgment

Written communication

Education

RN license (US)

Tools

Epic EHR

Annotation tools

Web-based platforms

Job description

Role Overview

Apply your pediatric inpatient bedside expertise to help improve the accuracy, safety, and reliability of AI tools used in clinical and healthcare settings. You will translate real-world nursing documentation practices into structured feedback, using clinical judgment and close attention to detail.

Key Responsibilities

• Review and assess AI-generated clinical outputs against nursing flowsheet documentation.
• Verify accuracy, completeness, and alignment with current documentation standards.
• Annotate and organize pediatric inpatient nursing assessment data for AI training datasets.
• Provide clinical feedback on nursing assessments and documentation practices.
• Identify documentation gaps, inconsistencies, and potential risks in AI-generated responses.
• Raise clarifying questions when annotation guidance is unclear and help refine guidelines.
• Work with technical teams to improve model performance.
• Help develop high-quality clinical benchmarks.

Qualifications

• Active U.S. RN license, excluding California.
• Recent pediatric acute-care inpatient bedside experience, preferably in a non-procedural inpatient unit.
• Inpatient bedside experience within the past 10 years, with current or more recent documentation experience valued more highly than total years of nursing experience.
• Ability to perform and document comprehensive pediatric nursing assessments.
• Ability to follow detailed annotation guidelines consistently, work independently, and meet deadlines.
• Excellent written communication and responsiveness to feedback.

Preferred Qualifications

• Experience with Epic EHR.
• Comfort learning annotation tools and web-based platforms.
• Ability to efficiently navigate transcripts and use AI-assisted tools while independently verifying outputs.
• Experience with quality-improvement chart review, utilization review, clinical documentation integrity, or clinical informatics.
• Previous annotation, chart abstraction, or healthcare AI experience.
• Comfort discussing edge cases and contributing to guideline refinement.

Work Terms

Remote, hourly engagement.

Compensation

$55 to $65 per hour.

Eligibility

An active U.S. RN license is required; California RN licenses are not eligible.