Inpatient Clinical Documentation Reviewer, Part-Time AI Review - Remote (United States)

• $60–$70 per hour

• 100% remote

• Part-time

• Fully flexible schedule

Review hospital documentation for a clinical AI project on a flexible, part-time schedule. The assignment centers on careful assessment of clinical material.

You will assess documentation and machine-produced clinical content for accuracy, safety, completeness, and fit with hospital practice. You will flag unclear material and share practical feedback that keeps project guidance and training data useful.

What you'll do

• Read inpatient chart material, including nursing and progress notes, care plans, orders, lab results, and discharge summaries

• Judge whether AI-generated clinical content is accurate, safe, and appropriate by comparing it with how inpatient care is actually delivered

• Label review examples and suggest clear improvements to the training set

• Flag unclear charting, surface edge cases, and give practical feedback on project guidelines and workflows

Why this is worth your time

• Receive $60–$70 per hour for focused, part-time clinical review work

• Check machine-produced clinical material against the project review criteria

• Help make datasets and project guidance clearer by flagging unusual cases

• Work remotely with a flexible schedule, no fixed shifts and no commute

Who this is for

• Able to practice as an RN in the United States

• Recent inpatient RN bedside experience

• Know inpatient workflows; apply standards of care and documentation practices. Communicate clearly, with strong attention to detail and fluency in English.

• Previous AI experience is not required. Use your clinical judgment to review AI-generated outputs and improve training data.

Pay and details

• $60–$70 per hour, paid hourly as an independent contractor

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

How to apply

1. Apply on OpenTrain (upload your resume): https://app.opentrain.ai/api/out/cmuzqaayg000205nn19ir2fqc?ch=rnfajobs&sub=rnfajobs-cmuzqaayg-us-2026-10

2. Complete a short application on the hiring platform.

3. If shortlisted, take a short AI interview.

Help improve AI systems through careful review of hospital content.

This part-time assignment is organized around clear review tasks. Each item arrives with the context needed for the decision. Read it carefully, note what is supported by the material, and record a concise explanation. If a detail is unclear, mark the uncertainty instead of guessing. Your notes help the project team refine instructions and keep later reviews consistent. There is no fixed shift pattern, so you can plan the work around your availability. The role is remote and contractor based. Payment is hourly at the stated rate.

During a review, start with the provided case material and identify the question the item asks. Separate observations from conclusions. Check that each statement is complete, safe, and consistent with the surrounding documentation. Record a short reason for the decision so another reviewer can follow the logic. Use plain language when describing a problem. When the evidence does not settle a point, say so. You may also compare several related entries, note a missing detail, or flag wording that could confuse a reader. The project values careful, repeatable work and practical explanations. The schedule is flexible and the assignment is part time. The role is remote and paid hourly as an independent contractor. The application route starts on OpenTrain with a resume upload, followed by the hiring platform's short application. If the team shortlists you, the last step is a short AI interview.

About OpenTrain AI

OpenTrain AI connects professionals with paid, part-time AI training work, including clinical content review and improvement.

PAID OPTIONS: NONE.