We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
At Snorkel AI, we are pioneering new approaches to data development. We are seeking a motivated, organized, and detail-oriented operations manager to manage a team of data annotators supporting new initiatives in our Research department. This is an exciting opportunity to contribute to cutting-edge approaches to data development. This role requires a high degree of adaptability, commitment to driving qualitative and quantitative success metrics, and excellent prioritization and communication skills.
Remote, US
The role may require working evenings or weekends at times.
Main Responsibilities
- Manage a team of data annotators to create high-quality labeled datasets for training, tuning, and evaluating machine learning models.
- Provide training, instruction, and coaching to data annotators.
- Manage day to day execution of annotation process and workflows.
- Responsible for the annotation team’s timely and accurate completion of various annotation tasks.
- Track and drive efficiency and quality of the data annotation team to support the needs of Research and Engineering projects
- Collaborate with the engineering team and project owners to understand annotation requirements; translate requirements into policies and guidelines for annotators.
- Separate annotators that are not meeting requirements.
- Oversee the tracking and approval process for billable work to ensure accuracy, facilitating timely invoicing and revenue recognition.
Minimum Qualifications
- 3+ years relevant work experience in operations management, program management or data annotation operations
- Ability to manage a large team performing manual operations
- Strong prioritization skills and the ability to self-direct
- Adaptability and creativity when faced with operational challenges
- Strong commitment to data accuracy and output
- Problem-solving skills and aptitude for improving processes
- Effective communication and writing skills
- Bachelor’s Degree or equivalent experience
United States
