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About the Role
As a 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
- Scrappy, hands-on, and willing to do whatever it takes to deliver
- Understand how to improve, incentivize, and maintain contributor networks
- At least one job in healthcare and moderate domain knowledge
- Comfortable working long hours in a high-intensity, early-stage environment
- Excited to be on-site in SF and collaborate closely with a small team
Location
- San Francisco
Work Type
- On-site
- Full-time
Benefits
- Unlimited PTO
- Comprehensive health, dental, and vision coverage
- 401(k)
- Free lunch + dinner
About the Company
- Kinetic Systems works at the intersection of computer-use agents, human data, and healthcare.
- Our mission is to advance the capabilities of frontier AI models on economically meaningful healthcare tasks by building novel datasets, environments, and models.
- Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs.
- 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