Jobs at Sieve

Build production systems for frontier AI customers that find, generate, filter, transform, evaluate, and package high-quality video datasets at scale. Translate ambiguous customer requirements into models, algorithms, data pipelines, infrastructure, heuristics, and quality-assurance workflows. Collaborate closely with customers and internal teams while delivering clean, maintainable code and end-to-end outcomes across multimodal data applications.

Coordinate recruiting operations, including interview scheduling, candidate communication, ATS maintenance, pipeline reporting, preboarding, and onboarding. Manage office operations such as supplies, deliveries, vendors, facilities, maintenance, cleaning, and event logistics. Provide leadership scheduling support, improve internal processes, and handle confidential information while maintaining a welcoming candidate and employee experience.

As the first operations hire at Sieve, you will scale data operations, forge partnerships, and optimize human QA processes to support engineering and customers.

As Data Operations Lead, you'll manage the data operations platform, oversee workforce management, drive user acquisition, and improve QA processes.