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Data Operations Lead
Skills
Cadence SoftwareCuratingData OperationsDatasetsDirect AccessEngineeringHealthcare
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience running human data expert network special projects or data operations end to end
- Ability to recruit manage and retain contributors while maintaining strong quality standards
- Capability to operate cross-functionally with customers researchers engineers and domain experts
- Comfort working in a high-intensity early-stage environment with speed judgment and ownership
- Willingness to work on-site in San Francisco
Nice to have
- Scrappy
- High-agency
- Hands-on
- Fast learner
- Strong judgment
Day to day
- Own end-to-end execution of human data projects from scoping through delivery and QA
- Lead strategies to generate and acquire novel datasets for frontier AI in healthcare and other expert-heavy domains
- Build repeatable data pipelines by working with customers researchers engineers and domain experts to translate ambiguous needs into reliable workflows
Hiring process
- Apply via LinkedIn job post
- CoffeeSpace reviews your profile
- Initial conversation via CoffeeSpace
- Direct conversations with the founding team