5-7 years of experience in data operations or AI-related projects
Experience in building expert networks or managing human data projects
Moderate knowledge of healthcare domain practices
Ability to motivate and manage contributors effectively
Hands-on approach to overcoming challenges
Experience working in high-intensity, early-stage environments
Responsibilities
Lead strategies for acquiring and generating novel datasets
Manage contributions from expert network members
Collaborate with engineers and researchers on data alignment
Develop and implement quality control processes for data pipelines
Construct high-quality datasets and environments for AI models
Benefits
Founding-level impact and ownership on projects
Opportunities to advance AI research in healthcare
Unlimited Paid Time Off (PTO)
Comprehensive health, dental, and vision insurance
401(k) retirement plan
Free lunch and dinner provided
Full Job Description
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
