Hospitalist, Part-Time AI Medical Documentation Training - Remote (United States)

• $100–$120 per hour

• 100% remote

• Part-time

• Fully flexible schedule

Use your hospitalist medical-documentation judgment to review AI-generated work and explain clear corrections.

Review AI-generated hospitalist medical-documentation work and write clear, evidence-based feedback.

What you'll do

• Assess FHIR records, clinical notes, claims and hospital charts for completeness and accuracy

• Determine whether the chart substantiates the reported clinical details and claims

• Compare the HPI, past history, assessments and plans with the standards used for inpatient notes

• Flag gaps, errors or contradictions in the documentation and explain your findings clearly

Why this is worth your time

• $100–$120 per hour, paid hourly as an independent contractor.

• Work on AI systems that review inpatient records, evaluating their documentation findings and helping improve their accuracy

• Review AI-generated inpatient documentation work and explain what is accurate, incomplete or needs correction.

• Fully remote and flexible, no fixed shifts, no commute

Who this is for

• MD or DO degree, with board certification in Internal Medicine, Pediatrics or Hospital Medicine

• In the last two years, you have held a current or recent inpatient or hospitalist role

• Strong grasp of inpatient charting and hospital workflows, with professional fluency in English

• No AI experience needed.

Pay and details

• $100–$120 per hour, paid hourly as an independent contractor

• Part-time, flexible schedule; fully remote, United States

How to apply

1. Apply on OpenTrain (about two minutes; upload your resume): https://app.opentrain.ai/api/out/cmv0kof8u001206nmdk81431d?ch=nursebloom&sub=p_d5db1dab39ee

2. Complete the application on the hiring platform.

3. If shortlisted, take a short AI interview.

Apply today to review hospitalist medical-documentation AI work with OpenTrain.

About OpenTrain AI

OpenTrain AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.