WFH.teamOpen app$333k-$374k
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Decision details from the source listing
2+ years stated
MD, DO, or equivalent medical degree, Board certification or eligibility in Medical Oncology
Must be based in the United States
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote, U.S.-based, part-time project contractor role reviewing AI-generated outpatient oncology documentation. Requires an MD, DO, or equivalent, board certification or eligibility in Medical Oncology, and at least 2 years of recent outpatient oncology experience following fellowship. Compensation is explicitly listed as $160–$180 per hour; no annual salary is stated.
Data, Finance and investments, Healthcare admin, Operations, Patient support, Product, Software, Customer support, Writing and content
United States
Timezone overlap is not stated.
Experienced; requires at least 2 years of recent outpatient medical oncology exp · Contractor · Part-time · Project-based
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is above the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketMedical Oncologist at micro1
Role type: Contractor
Location: Remote, United States only
Commitment: Part-time, project-based
Compensation: $160–$180 USD per hour
About the role
micro1 is looking for experienced Medical Oncologists to support a customer project focused on improving AI-generated clinical documentation.
In this role, you'll use your clinical expertise to evaluate AI-generated transcripts and medical notes from outpatient oncology encounters. Your feedback will help improve the accuracy, completeness, and clinical relevance of AI-assisted documentation.
What you'll do
Review AI-generated transcripts of outpatient oncology visits for clinical accuracy, completeness, and clarity.
Evaluate clinical documentation, including History of Present Illness (HPI), interval histories, and Assessment and Plans (A&Ps).
Identify inaccuracies or missing details related to cancer diagnoses, staging, treatment plans, and laboratory or imaging findings.
Assess documentation of systemic cancer therapies, including chemotherapy, immunotherapy, targeted therapies, and supportive care.
Review how clinical notes capture treatment responses, adverse effects, disease progression, and follow-up care.
Provide clear, actionable feedback to improve AI-generated clinical notes and EHR documentation.
Required qualifications
MD, DO, or equivalent medical degree, with board certification or eligibility in Medical Oncology.
At least 2 years of recent outpatient medical oncology experience following fellowship.
Strong clinical experience diagnosing and managing solid tumors, including treatment planning and longitudinal patient care.
Proven ability to independently document HPIs, interval histories, and Assessment and Plans.
Solid understanding of systemic cancer therapies, treatment-related toxicities, supportive care, and interpretation of laboratory and imaging results.
Strong written communication skills and attention to clinical detail.
Based in the United States.
Preferred qualifications
Experience managing a broad range of solid tumors and complex oncology cases.
Familiarity with AI scribe technology, EHR documentation templates, medical chart review, or clinical annotation projects.
Application process
Candidates will complete an AI interview to assess their relevant clinical expertise and experience.
About micro1
micro1 is a data lab that connects professionals with opportunities to apply their expertise to customer projects. We work with specialists across fields such as engineering, finance, healthcare, and law to support AI labs and enterprises. Through our extended network, contributors bring their knowledge and judgment to projects with their own scope, requirements, and engagement terms.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.