Pediatric Nursing AI Evaluation Expert

OpenTrain AI; Northern (KY); Hybrid; USD 76,000 - 90,000; Part time

Benefits offered by this job

Remote part-time work

Build a specialized AI portfolio

20+ hours per week

Job summary

OpenTrain AI is recruiting experienced pediatric inpatient nurses to evaluate AI systems used in clinical settings. You will assess AI-generated clinical outputs against nursing flowsheet documentation and current standards. The work requires an active U.S.

RN license outside California and recent pediatric inpatient bedside experience. This is a remote, part-time role with 20+ hours per week and pay of $55–$65 per hour.

Qualifications

• Active U.S. RN license outside California
• Recent pediatric acute-care inpatient bedside experience
• Ability to document comprehensive pediatric nursing assessments
• Ability to evaluate clinical AI outputs for accuracy, completeness, and risk
• Ability to follow detailed annotation guidance
• Strong written communication and responsiveness to feedback
• Independent work habits and reliability in meeting deadlines

Responsibilities

• Review, classify, and evaluate clinical information with attention to accuracy, completeness, safety, and reliability
• Help create high-quality datasets and benchmarks for healthcare AI systems
• Review AI-generated clinical outputs against nursing flowsheet documentation
• Annotate and structure inpatient pediatric nursing assessment data
• Identify gaps, inconsistencies, and potential risks
• Provide expert feedback on nursing assessments and documentation practices
• Ask clarifying questions when annotation guidance is ambiguous
• Collaborate with technical teams to improve model performance
• Support the development of high-quality clinical benchmarks

Job description

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping contributors discover specialized projects, build a professional profile, and apply in minutes.

Creating an OpenTrain account is free, giving you a place to develop a lasting portfolio of AI training experience.

• Contractor and part-time opportunity
• United States-based applicants only, excluding California
• English-language work
• 20+ hours per week
• $55 to $65 per hour

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists review examples, assess model responses, and prepare structured data so AI systems can become more accurate, reliable, and useful.

In healthcare, experienced professionals help evaluate clinical outputs against trusted documentation and professional standards. Your judgment can help shape how medical AI systems handle complex nursing information.

• Apply real-world expertise to improve AI systems
• Combine professional judgment with structured data work
• Support clinical benchmarks and safer model performance
• Build experience in a fast-growing technology field

The Role

OpenTrain is recruiting experienced pediatric inpatient nurses and registered nurses to evaluate AI systems used in clinical and healthcare settings. You will assess AI-generated clinical outputs against nursing flowsheet documentation and current documentation standards.

The work combines pediatric bedside expertise, clinical documentation review, structured annotation, and careful evaluation of AI-generated content. The listing is classified as entry level, but applicants must meet the specified professional licensing and pediatric inpatient experience requirements.

• Role: Pediatric Nursing AI Evaluation Expert
• Subject matter: Pediatric clinical documentation review
• Data type: Clinical documents
• Evaluation methods: Rating and classification
• Pay: $55 to $65 per hour

What You'll Do

You will review, classify, and evaluate clinical information with close attention to accuracy, completeness, safety, and reliability. You will also help create high-quality datasets and benchmarks for healthcare AI systems.

The role requires consistent application of detailed guidance while using independent clinical judgment when documentation or instructions are ambiguous.

• Review AI-generated clinical outputs against nursing flowsheet documentation
• Annotate and structure inpatient pediatric nursing assessment data
• Identify gaps, inconsistencies, and potential risks
• Provide expert feedback on nursing assessments and documentation practices
• Ask clarifying questions when annotation guidance is ambiguous
• Contribute to refining annotation guidelines
• Collaborate with technical teams to improve model performance
• Support the development of high-quality clinical benchmarks

Required Qualifications

You must have an active registered nurse license in the United States, excluding California, as well as recent pediatric acute-care inpatient bedside experience. Experience in a non-procedural inpatient unit is preferred.

You should be able to perform and document comprehensive pediatric nursing assessments, follow detailed annotation guidance consistently, and make careful clinical judgments about AI-generated clinical content.

• Active U.S. RN license outside California
• Recent pediatric acute-care inpatient bedside experience
• Ability to document comprehensive pediatric nursing assessments
• Ability to evaluate clinical AI outputs for accuracy, completeness, and risk
• Ability to follow detailed annotation guidance
• Ability to explain decisions involving edge cases
• Strong written communication and responsiveness to feedback
• Independent work habits and reliability in meeting deadlines

Helpful Experience

The following experience is not listed as required, but may help you contribute effectively to this project. Familiarity with clinical documentation workflows and AI-assisted review can be especially useful when evaluating nuanced nursing records.

• Epic EHR workflows
• Chart review for quality improvement
• Utilization review
• Clinical documentation improvement
• Clinical informatics
• Previous annotation or chart abstraction
• Healthcare AI experience
• Web-based annotation tools
• Efficient transcript navigation
• Verification of AI-assisted outputs

Why Work With OpenTrain

AI training and data-labeling work is a flexible way to apply specialized knowledge to cutting-edge technology. Many projects are remote and part time, allowing contributors to fit work around other responsibilities while developing experience in a growing industry.

OpenTrain helps you manage opportunities in one place, show credible experience through your profile, and grow AI training and data-labeling work into a durable professional portfolio.

• Use your pediatric nursing expertise beyond traditional clinical workflows
• Contribute directly to the development of medical AI tools
• Work part time for 20 or more hours per week
• Build a portfolio of specialized AI evaluation experience
• Apply through OpenTrain in minutes