Inpatient Clinical Documentation Reviewer

The Work

You will review clinical content and inpatient documentation to help improve AI systems. Your work will use Registered Nurse expertise and bedside judgment to assess whether AI-generated clinical outputs are accurate, safe, appropriate, complete, and consistent with real inpatient workflows.

You will also help improve training data and project guidance by explaining unclear documentation, identifying edge cases, and sharing practical feedback with project stakeholders.

• Annotate and review nursing notes, progress notes, care plans, orders, laboratory results, and discharge summaries.
• Evaluate AI-generated clinical outputs for accuracy, safety, and appropriateness.
• Apply inpatient standards of care, documentation practices, and workflow knowledge to review and enrich training datasets.
• Use written and verbal communication to clarify ambiguities in clinical documentation.
• Provide detailed feedback on guidelines, edge cases, and project workflows.

What It Pays And Takes

This is a part-time contractor role for a Registered Nurse with recent inpatient bedside experience. The work requires broad clinical exposure and careful review of complex clinical content.

• Pay: $60 to $70 per hour.
• Location: Open to candidates in the United States.
• Required: Ability to practice as a Registered Nurse in the United States.
• Required: Recent inpatient bedside Registered Nurse experience.
• Required: Knowledge of inpatient workflows, standards of care, and documentation practices.
• Required: Clear written and verbal communication with strong attention to detail.
• Language: English fluency for written and verbal communication.
• Helpful: Experience in an academic or large health system, such as a teaching hospital.
• Helpful: Previous annotation experience with positive performance reviews.
• Prior AI experience is not required.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind artificial intelligence, including reviewing documents and rating whether model responses are accurate and useful. OpenTrain is a platform where people find these projects, build a profile, and apply, while experienced professionals contribute the judgment needed for specialized AI systems.

Clinical reviewers are needed because AI outputs must be checked against real standards of care, documentation practices, and professional workflows.