Job Overview
Job description
- Location:
- San Francisco, United States
- Work arrangement:
- On-site
Role Summary
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.
Responsibilities
- 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
Requirements
- 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
About the Company
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
- Role:
- Data Operations
- Job Type:
- FullTime
Company profile
kineticsystems
kineticsystems.aiKinetic Systems is an applied AI research lab focused on improving frontier models to solve clinically and economically meaningful healthcare tasks, working toward autonomous healthcare. It shares benchmarks, papers and writing on AI agents for real-world healthcare environments that its team has contributed to, such as HealthAdminBench and MEDS, an emerging data standard and ecosystem for health AI. The lab offers new hires founding-level impact and ownership.
