Pediatric Hematology/Oncology Physician Reviewer

You will review AI-generated transcripts and medical notes from outpatient pediatric hematology/oncology visits. Your feedback will help improve the accuracy, completeness, clarity, and clinical relevance of AI-assisted documentation.

• Review History of Present Illness, interval histories, and Assessment and Plans for accuracy and completeness.
• Identify missing or incorrect details about chemotherapy regimens, treatment toxicities, supportive care, and laboratory findings.
• Assess weight- and body surface area-based dosing, developmental milestones, age-appropriate communication, caregiver involvement, shared decision-making, and psychosocial considerations.
• Provide clear, useful feedback to improve AI-generated clinical notes and electronic health record documentation.

What it pays and takes

This is a remote, part-time, project-based contractor role for professionals based in the United States.

• Pay: $160 to $180 per hour.
• Location: Open to candidates in the United States.
• Language: Professional fluency in English.
• Education: MD, DO, or an equivalent medical degree.
• Credentials: Board certification or eligibility in Pediatric Hematology/Oncology.
• Experience: At least two years of recent outpatient pediatric hematology/oncology experience after fellowship, including chemotherapy management, longitudinal patient care, and treatment-related complications.
• Skills: Independent documentation of HPIs, interval histories, and Assessment and Plans; knowledge of pediatric chemotherapy protocols, transfusion practices, supportive care, age-specific laboratory interpretation, written communication, and careful clinical review.
• Helpful background: Experience with sickle cell disease, hemophilia, ITP, or other malignant and non-malignant pediatric blood conditions. Familiarity with AI scribe technology, electronic health record templates, medical chart review, or clinical annotation projects is also relevant.

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 examples reviewed by people to improve how artificial intelligence systems perform. In this role, specialist medical judgment helps make clinical documentation tools more accurate and useful.