Data Operations

Reposted One Month Ago
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San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Software
The Role
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.
Summary Generated by Built In

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.

 
The Role

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.

What You’ll Do
  • 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

Who You Are
  • 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

Why Us

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

Skills Required

  • Previous work building expert networks or delivering human data projects
  • At least one prior job in healthcare (healthcare domain experience)
  • Ability to manage and incentivize contributor networks and expert contributors
  • Experience developing and implementing curation and QC processes for data pipelines at scale
  • Scrappy, hands-on mindset willing to do whatever it takes in an early-stage environment
  • Willingness to work long hours in a high-intensity startup environment
  • Ability and willingness to work on-site in San Francisco
Am I A Good Fit?
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The Company

What We Do

Kinetic Systems is an applied AI research lab focused on improving frontier models to solve economically meaningful healthcare tasks. Founded in 2025 out of the Stanford PhD program and backed by Tier 1 VCs, its mission is to advance the capabilities of frontier AI models by building novel datasets, environments, and models. The company operates at the intersection of computer-use agents, human data, and healthcare.

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