You'll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference.
Why it Matters:
Help shape the next generation of medical AI by ensuring these systems can handle the complexity of real clinical practice. Remote work with flexible scheduling around your clinical commitments.
Duration: 1 month, with potential extensions based on performance and fit.
Responsibilities
Design systematic evaluation frameworks for medical AI systems.
Create clinical scenarios that test AI reasoning and decision-making capabilities.
Build assessment methods that capture the nuance of clinical practice.
Identify gaps in AI medical knowledge and reasoning.
Collaborate with AI researchers to improve model performance.
Required skills
Licensed physician in active clinical practice (any specialty).
Experience with clinical decision-making and evidence-based medicine.
Interest in how AI can support clinical practice.
Strong analytical and communication skills.
Schedule details
Commitment: flexible engagement, remote working, up to 30 hrs/week.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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