Labelbox has introduced a streamlined workflow for requesting its labeling services, simplifying the process for both managed contract and self-serve customers. With a few clicks on the Labelbox platform, users can access a network of experts for tasks such as preference ranking, data generation, and multimodal labeling. Labelbox recruits highly educated individuals to assist with complex data tasks, including post-training activities like reinforcement learning from human feedback and supervised fine-tuning. The platform's new workflow involves a four-step process: users configure their projects and labeling needs, undergo a calibration phase to ensure quality, and then proceed to production, where labels are generated quickly and with high quality. The final step marks the completion of labeling, with data readily available for use. This efficient system is part of Labelbox's broader data factory, which produces millions of annotations monthly.