xAI

This role focuses on improving the epistemic rigor and truthfulness of AI models, specifically ensuring they reason carefully, avoid motivated reasoning, and communicate uncertainty appropriately. Responsibilities include assessing model outputs for accuracy and logical coherence, identifying fallacies, writing exemplary reasoning, and constructing adversarial examples. The role requires a strong analytical background, a track record in forecasting or rigorous analysis, and deep knowledge in fields like philosophy of science, cognitive psychology, or statistics.