Background:
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.
Responsibilities:
- Review and assess multimedia content to determine if it meets specific poor
quality criteria.
- Classify content according to predefined categories
- Complete the daily quality and quantity targets set by PM
- Be detail-oriented, have a high sense of responsibility, self-learning, and the
ability to adapt to changes/updates throughout the project
Requirements:
- Chinese speakers
- Good command of English (minimum B2 English level)
- Educational background in linguistics or experience in language teaching is a
major plus
- Management and/or QA experience in the data annotation industry will be
preferred
- Attention to detail, and the ability to help others to improve
- An up-to-date PC or Mac and a stable Internet connection
- Available 40 hours per week during a fixed schedule, no public holiday
coverage (i.e. 9 am - 6 pm local time with a one-hour lunch break, Monday to Friday
