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Remote Medical Expert

Pubblicato il 10-10-2026 - Turing in Bardi

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.;
Tutti i potenziali candidati sono incoraggiati a leggere l'intera descrizione del lavoro prima di candidarsi.
Overview
Role Overview: We are looking for medically trained professionals to help evaluate and improve large language model (LLM) outputs in the healthcare domain. Your role will focus on ensuring that AI-generated medical content is accurate, safe, and clinically relevant.



This is a unique opportunity to contribute to responsible AI in medicine, ensuring that cutting-edge models meet the highest standards of clinical integrity across diverse patient contexts.
What You'll Do
- Review AI-generated medical content and assess accuracy, safety, and harmfulness.
- Analyze patient cases, identifying likely diagnoses and treatment plans based on provided symptoms.
- Evaluate AI-generated summaries of medical conversations.

Requirements
- Minimum: 1+ year of experience practicing as an MD or MD equivalent (country-specific).
- Language: Proficiency in English (US) for understanding guidelines and reviewing outputs.
- Preferred: Licensed Medical Doctor (MD, DO, MBBS, MBChB, etc.) currently practicing in your locale.

Alternative profiles (upon review)
- Final-year medical residents
- Nurse Practitioners, Physician Assistants, or international equivalents

Note: All medical qualifications will be reviewed and verified before

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