Legal AI Researcher (Governance, Compliance)
Design and implement complex legal workflows to test and evaluate state-of-the-art AI models. Collaborate with frontier engineering and research teams to refine AI performance on real-world legal tasks.
Design and implement complex legal workflows to test and evaluate state-of-the-art AI models. Collaborate with frontier engineering and research teams to refine AI performance on real-world legal tasks.
Annotate and code clinical documents such as discharge summaries and lab results using SNOMED CT standards. Participate in quality review and adjudication rounds to ensure coding consistency and accuracy for clinical AI development.
Physicians will design clinical scenarios and validate AI model outputs to ensure accuracy and safety in medical contexts. They will also provide written rationales for model performance and contribute to continuous improvement through feedback on edge cases.
Review and assess AI-generated health coaching responses for safety, regulatory compliance, and clinical accuracy. Provide structured grading and written feedback to help refine AI models for patient-facing guidance.
The role involves labeling and curating clinical data to train AI models while performing human-in-the-loop evaluations for accuracy and safety. You will also design prompts, refine scoring rubrics, and collaborate with researchers to improve clinical annotation standards.
The role involves labeling and curating clinical data to train AI models and performing human-in-the-loop evaluations to ensure clinical accuracy and safety. You will also engage in prompt engineering and develop scoring rubrics to refine AI performance in healthcare applications.
Contribute deal experience to a research project to improve AI reasoning in investment banking and capital markets. Generate, refine, and evaluate content reflecting senior professional thinking on transactions from origination to close.