Role Description
In this project, you will leverage your expertise in emergency medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of acute diagnostics, triage protocols, and time-critical decision-making will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.
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Design and solve advanced clinical scenarios reflecting emergency medicine practice, from acute trauma management to rapid differential diagnoses.
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Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in high-acuity settings.
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Identify gaps in AI understanding across emergency medicine presentations and procedures.
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Collaborate with AI researchers and medical peers to improve model quality and reliability.
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Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications.
Qualifications
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MD or equivalent; active practice within the last 3+ years.
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Board certification or equivalent qualification in Emergency Medicine.
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Strong grasp of emergency medicineβs full spectrum β trauma, resuscitation, toxicology, and acute care.
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Skilled in articulating complex medical reasoning in clear, patient-friendly language.
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Excellent written and spoken English; familiarity with digital medical tools is a plus.
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Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).
Requirements
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Commitment: 20β40 hours/week (minimum 4 hours/day, with overlap in PST).
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Engagement: Contractor/freelancer (no medical or paid leave).
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Duration: 1 month, with possible extension.
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Remote: Fully remote, collaborative environment.
Company Description
Based in San Francisco, California, Turing is the worldβs leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways:
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Accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents.
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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.