Medical Oncologist Clinical Documentation Reviewer

The work

You will review AI-generated transcripts and clinical notes from outpatient oncology visits. Your feedback will help improve documentation of diagnoses, treatment decisions, clinical findings, and ongoing patient care.

• Check History of Present Illness, interval histories, and Assessment and Plans for accuracy and completeness.
• Identify missing or incorrect details about cancer diagnoses, staging, treatments, laboratory results, and imaging findings.
• Review documentation of chemotherapy, immunotherapy, targeted therapies, supportive care, treatment response, toxicities, disease progression, and follow-up care.
• Provide clear, practical feedback that improves AI-generated notes and electronic health record documentation.

What it pays and takes

This is a part-time, project-based remote contractor role for professionals based in the United States. The work requires medical oncology expertise and strong attention to clinical detail.

• Pay: $160 to $180 per hour.
• Location: Remote and open to candidates based in the United States.
• Education: MD, DO, or an equivalent medical degree.
• Certification: Board certification or eligibility in Medical Oncology.
• Experience: At least two years of recent outpatient medical oncology experience after fellowship.
• Clinical knowledge: Strong experience diagnosing and managing solid tumors, systemic cancer therapies, treatment-related toxicities, supportive care, and laboratory and imaging interpretation.
• Documentation skills: Ability to write and assess History of Present Illness, interval histories, and Assessment and Plans.
• Communication: Strong written communication and close attention to clinical detail.
• Helpful background: Experience with a broad range of solid tumors, complex oncology cases, 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 improve artificial intelligence systems. In this role, your medical oncology experience helps assess whether AI-generated clinical documentation is accurate, complete, and useful for real clinical work. OpenTrain is where people find these projects and apply to build experience in the field.