The role involves building and maintaining systems for collecting data to improve AI models. The engineer will design and execute data collection pipelines that are both performant and resilient to changing research needs. Responsibilities include creating interfaces for data vendors and crowdworkers to ensure high-quality data collection. The position requires close collaboration with research teams and data operations partners to understand workflows and iterate on collection methods. The engineer will prioritize multiple workstreams while balancing system maintainability with rapid development.

Candidates must be strong full-stack engineers with experience building internal tools and working directly with users. The role requires the ability to thrive in fast-moving environments while balancing iteration speed with long-term system health. A minimum of a bachelor's degree or an equivalent combination of education, training, and experience in a relevant field is required. Years of experience are determined by internal job level requirements.