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Pediatric Inpatient Nurses (RN)

$55–$65/h

United States

Role overview

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

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →