Hematology/Oncology Physician AI Documentation Reviewer

The work

You will review and annotate AI-generated transcripts from outpatient hematology and oncology visits. Your feedback will help assess whether clinical notes accurately capture patient interactions, clinical reasoning, treatment decisions, and follow-up needs.

You will also evaluate note sections and identify missing or unclear details related to chemotherapy, treatment side effects, laboratory results, and longitudinal patient care.

• Review transcripts of outpatient hematology and oncology conversations for accuracy, completeness, and clarity.
• Evaluate History of Present Illness, interval history, and Assessment and Plan sections.
• Assess whether generated notes reflect chemotherapy cycles, treatment toxicities, laboratory results, and clinical decisions.
• Provide expert feedback on AI scribe outputs and electronic health record note templates.
• Help improve documentation for real-world follow-up visits and ongoing patient care.

What it pays and takes

This is a remote, part-time contractor opportunity with flexible scheduling for professionals located in the United States.

• $100 to $180 per hour.
• Remote work from the United States.
• Flexible, part-time schedule.
• MD, DO, or equivalent qualification.
• Board certification or eligibility in Hematology and/or Oncology.
• At least two years of recent outpatient hematology or oncology practice after fellowship.
• Experience with patient follow-up visits, chemotherapy management, and longitudinal care.
• Independent proficiency writing outpatient HPIs, interval histories, and Assessments and Plans.
• Strong understanding of chemotherapy cycles, side-effect management, and outpatient laboratory interpretation.
• Clear, patient-centered clinical communication and documentation skills.
• Fluency in English.

Helpful background

Experience with ambient AI scribe tools, electronic health record note templates, annotation projects, or medical chart review is helpful. Familiarity with outpatient oncology workflows can support accurate evaluation of generated notes and transcripts.

How it works

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.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 7 screening questions.

About AI training work

AI training work uses human review to help improve artificial intelligence systems. Medical experts are paid for this work because their clinical judgment helps evaluate whether generated content is accurate, clear, and useful.