Hematologist Clinical Documentation AI Reviewer

The work

You will review AI-generated transcripts and medical notes from outpatient hematology visits. Your clinical judgment will help improve the accuracy, completeness, clarity, and usefulness of AI-assisted documentation.

You will assess how notes capture patient history, treatment decisions, laboratory findings, and ongoing care. You will also give clear feedback that can improve clinical notes and electronic health record documentation.

• Review AI-generated transcripts for clinical accuracy, completeness, and clarity.
• Evaluate the History of Present Illness, interval histories, and Assessment and Plans.
• Find missing or inaccurate details about hematologic diagnoses, treatment plans, medications, and laboratory results.
• Review documentation of anemia, bleeding and clotting disorders, hematologic malignancies, treatment responses, adverse effects, transfusions, and follow-up care.
• Provide specific, actionable feedback on AI-generated clinical notes.

What it pays and takes

This is part-time, project-based contractor work for a U.S.-based hematologist. The role requires recent outpatient hematology experience and the ability to review and document clinical information independently.

• Pay: $160 to $180 per hour.
• Work arrangement: Part-time, project-based contractor work.
• Location: Open to candidates based in the United States.
• Education: MD, DO, or an equivalent medical degree.
• Certification: Hematology board certification or eligibility.
• Experience: At least two years of recent outpatient hematology experience after fellowship.
• Clinical skills: Diagnose and manage hematologic disorders, develop treatment plans, and support longitudinal patient care.
• Documentation skills: Independently write HPIs, interval histories, and Assessment and Plans.
• Knowledge: Hematologic treatments, transfusion practices, anticoagulation management, and laboratory interpretation.
• Language: Fluent in English.
• Core strengths: Strong written communication and close attention to clinical detail.
• Helpful background: Experience with leukemia, lymphoma, anemia, sickle cell disease, coagulation disorders, AI scribe technology, electronic health record templates, medical chart review, or clinical annotation.

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 3 screening questions.

About AI training work

AI training work uses human review to help artificial intelligence produce more accurate and useful results. Medical specialists are paid for this work because their clinical knowledge helps evaluate and improve AI-generated healthcare content.