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Role type: Contractor
Commitment: Part-time, project-based
Compensation: $160–$180 USD per hour
Our team 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.
• 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.
• 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.
Our team 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.