Data Annotator

To help a world-known short-video platform reduce low-quality content. Based on the current situation, the client anticipates the training data from this project will help to differentiate various types of ambiguous content, ultimately enhancing the user experience. We are looking for diligent and detail-oriented Data Annotators to join our team. Task: To label categories of video/photo content for Model Training purpose and ultimately enhancing the user experience. This role involves accurately evaluating and labeling content based on quality criteria, ensuring that content is classified according to specific poor-quality categories. The ideal candidate should have a keen eye for detail, a strong understanding of content quality metrics, and the ability to work with various content types while adhering to defined guidelines.