Data Operations Engineer at Labelbox

The Data Operations Engineer will build, deploy, and maintain Python automation scripts and tools to streamline data annotation, automate tasks, and reduce manual effort. They will identify and resolve bottlenecks in the data labeling pipeline to enhance throughput, accuracy, and scalability. This role involves working with the Project Management team to ensure data labeling accuracy, troubleshooting data quality issues, and planning quality assurance workflows using GenAI and open-source models. Responsibilities also include setting up monitoring tools, reporting key metrics, integrating and managing third-party API tools with Labelbox, building and maintaining internal tools with Retool, and providing technical support to project managers and labelers.