Hospitalist Clinical Documentation Reviewer

You will review inpatient clinical records and decide whether they accurately reflect the patient encounter. Your work will support a quality-focused AI training review program through consistent decisions and clear reasoning.

• Review H&Ps, progress notes, and discharge summaries for clinical accuracy and completeness.
• Adjudicate ambiguous or conflicting information and make clear, well-reasoned decisions.
• Identify clinically significant errors, omissions, and inconsistencies, then classify them by severity.
• Apply structured review rubrics and quality criteria consistently across cases.
• Write concise reasoning for each adjudication decision.
• Provide practical feedback that helps improve review guidelines and quality standards.

• Pay: $100 to $115 per hour.
• Work type: Part-time contract role.
• Location: Open to candidates in the countries listed for this role across North America, South America, Europe, Asia, Africa, and the Middle East.
• Language: Fluent in English.
• Education: MD or DO degree with board certification in Internal Medicine or Family Medicine.
• Experience: At least five years as an attending hospitalist or demonstrated leadership in documentation audit programs.
• Knowledge: Strong familiarity with inpatient documentation standards and hospital quality assurance processes.
• Skills: Evaluate clinical documentation, explain nuanced clinical reasoning clearly, and work independently in a remote contractor environment.
• Additional knowledge: Understand how clinical documentation affects coding, billing, and compliance.
• Helpful background: Clinical documentation improvement, documentation quality assurance, auditing, or broader clinical quality leadership experience.

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 artificial intelligence. Contributors review examples, rate model outputs, and apply professional judgment so AI systems can produce more accurate and useful results. OpenTrain is a platform where people find these projects, build a profile, and apply in minutes.