Data annotator is one of the core positions of data annotator company. Its main job is to process the learning data of artificial intelligence with the help of annotation tools. General information is pictures, videos, words, etc. And provide enough data sets for artificial intelligence through continuous operations such as picture frames and punctuation.

In 2022, CCTV- 13 "News Live Room" reported the theme of "Stable Employment in Action". In the modern office building of Baidu (Shaanxi) Artificial Intelligence Basic Data Industry Base, data annotator Yuan Zheng was absorbed in the computer, skillfully moved the mouse, framed the images collected by laser radar, and taught AI about the human world.

The main work content of data annotator

1. Familiar with labeling tools and labeling specifications: Data labeling personnel need to master corresponding labeling tools, such as text editors, image labeling tools and video labeling tools, and be familiar with labeling specifications to ensure the consistency and accuracy of labeling.

2. Understand the types and uses of data sets: Data annotators need to understand the types and uses of data sets in order to accurately label data, and classify and filter data according to labeling requirements.

3. Data annotation: Data annotators need to annotate given data according to annotation specifications, such as text classification, image object detection and annotation, audio speech recognition, etc.