Job Description
Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, accelerate public health insights, and support evidence-based decision-making across the globe. On a typical day, you will converse with the model on real-world epidemiological problems and theoretical scenarios, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD degree in epidemiology, public health, biostatistics, or a closely related field is ideal; peer‑reviewed publications, applied research in population health, or work in public health agencies or field epidemiology signal fit. Ready to turn your epidemiology expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
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