M- Work from
- United States
- Contract
- Contract
- Salary
- $100 – $200 / hour
- Posted
- 10 November 2026
- Apply by
- 9 January 2027
In this role, you'll apply your expertise to help train next-generation AI systems.
Role Title: Hematology/Oncology Physician
Role Type: Contractor
Location: United States, Remote
Scope of Work
- Review and annotate AI Generated transcripts of outpatient hematology/oncology clinic conversations for accuracy, clinical completeness, and clarity.
- Assess AI Generated documentation sections such as History of Present Illness (HPI), interval histories, and Assessment & Plans (A&Ps), providing input on appropriate information inclusion.
- Identify and comment on nuances of chemotherapy cycles, treatment toxicities, laboratory discussions, and decision-making processes in clinical documentation.
- Provide feedback on how well AI Generated transcripts reflect real-world clinical reasoning and patient interactions, especially during follow-up visits.
- Contribute to the evaluation and improvement of AI scribe outputs or EHR note templates, as needed.
Nice to have
- MD, DO, or equivalent with board certification or eligibility in Hematology and/or Oncology.
- At least 2 years of recent outpatient clinical experience post-fellowship, focusing on patient follow-up visits, chemotherapy management, and longitudinal care.
- Demonstrated proficiency in independently writing HPIs, interval histories, and A&Ps for outpatient oncology or hematology care.
- Comprehensive understanding of chemotherapy treatment cycles, side effect management, and lab result interpretation in an outpatient setting.
- Experience with ambient AI scribe solutions, EHR note templates, annotation projects, or medical chart review (preferred but not required).
- Familiarity with best practices in outpatient oncology workflow and a track record of clear, patient-centered clinical interactions.
About micro1
micro1 is engaging Hematology/Oncology Physicians to contribute expertise and insights to a forward-thinking customer project. Your work will shape how models learn, reason, and perform through high-quality, real-world input. This is an exciting opportunity for professionals who have recently practiced outpatient hematology/oncology after fellowship, and who are passionate about accurate clinical communication and documentation.
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