About The Position

Are you a fluent German-speaking medicine expert eager to shape the future of AI? 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, keep pace with cutting-edge research, and streamline clinical work for healthcare professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for medicine specialists who live and breathe internal medicine, pharmacology, pathology, clinical diagnostics, medical ethics, human physiology, epidemiology, immunology, and evidence-based medicine. You’ll challenge advanced language models on topics like differential diagnosis, drug interactions, treatment protocols, pathophysiological mechanisms, clinical trial design, public health interventions, and diagnostic imaging interpretation—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on clinical scenarios and theoretical medical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A medical degree (MD, DO) or a master’s/PhD in a health sciences field is ideal; clinical experience, peer‑reviewed publications, hospital-based practice, or public health project involvement signal fit. Clear, metacognitive communication—“showing your work”—is essential. Fluency in German is required. Ready to turn your medicine expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

Requirements

  • Fluency in German
  • Expertise in internal medicine, pharmacology, pathology, clinical diagnostics, medical ethics, human physiology, epidemiology, immunology, and evidence-based medicine
  • Clear, metacognitive communication

Nice To Haves

  • Medical degree (MD, DO) or a master’s/PhD in a health sciences field
  • Clinical experience
  • Peer‑reviewed publications
  • Hospital-based practice
  • Public health project involvement

Responsibilities

  • Converse with the model on clinical scenarios and theoretical medical questions
  • Verify factual accuracy and logical soundness
  • Capture reproducible error traces
  • Suggest improvements to our prompt engineering and evaluation metrics
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