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Kinetic Systems

Data Operations

San Francisco

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on Kinetic Systems's site ↗

Listed on hirly, a job board. hirly is not the employer: Kinetic Systems is hiring for this role.

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