Lead dataset strategy and partnerships, manage expert contributors, collaborate with researchers and engineers, and develop scalable curation and QC processes for human-in-the-loop healthcare data pipelines to support AI model research.

Conduct applied AI research to improve model capabilities for healthcare workflows: design evals, RL environments, benchmarks; develop and train computer-use agents; build data pipelines; publish papers; work across models, tooling, infra, and product in an on-site SF internship.