Inpatient Clinical Documentation Reviewer (Registered Nurse)

You will review clinical documents and AI-generated outputs using your Registered Nurse expertise and inpatient bedside judgment. The goal is to help improve AI systems by checking whether clinical content is accurate, safe, complete, and appropriate for real inpatient care.

You will also help clarify unclear documentation, explain edge cases, and give detailed feedback that improves project guidelines and workflows.

• Review and annotate nursing notes, progress notes, care plans, orders, laboratory results, and discharge summaries.
• Evaluate AI-generated clinical outputs for accuracy, safety, completeness, and clinical appropriateness.
• Apply inpatient standards of care, documentation practices, and workflow knowledge to training data.
• Use written and verbal communication to clarify ambiguous clinical documentation.
• Provide detailed feedback on guidelines, difficult cases, and project workflows.

This is a contractor, part-time role for candidates in the United States.

• Pay: $60 to $70 USD per hour.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Required: Able to practice as a Registered Nurse in the United States.
• Required: Recent inpatient bedside Registered Nurse experience.
• Required: Broad clinical experience across inpatient populations and care scenarios.
• Required: Strong knowledge of inpatient workflows, standards of care, and documentation practices.
• Required: Clear written and verbal communication with close attention to detail.
• 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.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples. In this role, clinical expertise helps review and improve model outputs so they better reflect safe, accurate inpatient documentation and care practices.

OpenTrain is a platform where people find AI training and data-labeling projects, build a profile, and apply. Creating an OpenTrain account is free.