Data Operations Lead
Kinetic Systems
Data Operations Lead
Kinetic Systems
Reinforcement learning datasets for healthcare automation
Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.
As an Data Operations Lead, you will interface with AI and healthcare customers, scope requirements, and help construct high quality datasets, environments, and evaluations for AI models.
Lead strategies for generating / acquiring novel datasets and partnerships
Manage expert contributors
Collaborate with researchers and engineers to align data with overall research agendas
Develop and implement processes for curating and QC'ing data pipelines at scale
Previous work experience building expert networks or delivering human data projects
Are scrappy, hands-on, and willing to do whatever it takes to deliver
Understand how to improve, incentivize, and maintain contributor networks
Have had at least one job in healthcare and moderate domain knowledge
Are comfortable working long hours in a high-intensity, early-stage environment
Are excited to be on-site in SF and collaborate closely with a small team
If you join our team, you will be joining a team with...
Founding-level impact and ownership
Leading AI research + healthcare expertise
Competitive compensation and meaningful equity
An opportunity to advance AI research in one of its most meaningful application areas
You'll also receive...
Unlimited PTO
Comprehensive health, dental, and vision coverage
401(k)
Free lunch + dinner
Reinforcement learning datasets for healthcare automation
Kinetic Systems builds data infrastructure for autonomous healthcare delivery, providing curated reinforcement learning environments and post-training datasets for AI researchers. Its flagship HealthAdminBench benchmarks AI agents on multi-step healthcare administrative tasks such as prior authorizations, denial appeals, and ordering durable medical equipment to tune models for real-world admin work. The company differentiates itself by focusing specifically on healthcare administration economics and by applying Stanford-origin research to improve fine-tuned models for administrative tasks rather than general clinical tasks. Its goal is to help frontier AI labs, providers, MSOs, and BPOs deploy AI that can automate back-office workflows and enable more autonomous care.
Explore more opportunities at Kinetic Systems