✨ About The Role
- Responsible for ensuring researchers have an understanding of the content and quality of human data input to AI models
- Constantly raising the bar on achieving the highest quality data efficiently
- Creating a clear understanding of tasks and performance measurement for vendors and AI trainers
- Partnering with cross-functional teams to start up new data collection projects and calibrating AI trainers
- Enabling nimble pivots in project execution based on changing research requirements or quality deficiencies
âš¡ Requirements
- Experience managing data labeling operations, particularly for dynamic and nondeterministic labels
- Comfortable using a combination of internal tools, SQL, or rudimentary spreadsheets with exceptional judgment in building repeatable processes
- Adaptable to projects in varying domains and complexities, effectively reasoning about systems and processes
- Action-oriented and deeply curious with a love for helping others get things done the right way
- Possess domain expertise in a specific area such as coding, creative writing, law, medicine, or an ability to speak multiple languages