Internal Medicine Expert (AI Evaluation) jobs in United States
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Labela · 15 hours ago

Internal Medicine Expert (AI Evaluation)

Labela helps health and life science professionals connect with AI companies to train frontier models. They are seeking an Internal Medicine Expert to provide specialized medical knowledge for evaluating and refining AI models related to internal medicine.

Computer Software

Responsibilities

Apply internal medicine expertise to evaluate adult medicine–focused medical content generated or reviewed by AI systems
Contribute to structured evaluations assessing AI safety, evidence quality, and clinical appropriateness
Identify and document failure modes and edge cases (e.g., missed red flags, unsafe prescribing, inappropriate reassurance or delayed escalation)
Assess alignment with evidence-based internal medicine guidelines and real-world clinical workflows
Maintain strict confidentiality and NDA compliance

Qualification

Internal medicineChronic disease managementDiagnostic reasoningPreventive careClinical judgmentAI evaluation

Required

General internal medicine (outpatient and inpatient)
Chronic disease management (e.g., diabetes, hypertension, heart failure, CKD)
Complex multimorbidity and polypharmacy
Diagnostic reasoning and undifferentiated adult presentations
Preventive care and health maintenance
Hospital medicine and care transitions
Geriatric medicine and frailty
Clinical training in internal medicine or closely related adult medicine fields
US Board-certified
Internal medicine residents or fellows with strong clinical experience
Active or recent involvement in adult clinical practice
Familiarity with evidence-based internal medicine guidelines (e.g., ACP, USPSTF, ACC/AHA, ADA)
Strong clinical judgment with the ability to articulate concise, well-supported rationales
Interest in AI evaluation and responsible use of medical data
Reliable remote setup and comfort working asynchronously

Company

Labela

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Labela helps health and life science professionals connect with AI companies to train frontier models.

Funding

Current Stage
Early Stage
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