AI data annotator actually helps artificial intelligence to identify objects. Simply put, human beings teach artificial intelligence to recognize what it is. Therefore, the main task of artificial intelligence trainer (data annotator) is data collection and annotation, especially data annotation.

What is data annotation?

Data annotation is an emerging industry in recent two years, and it is the core work of artificial intelligence at present, which requires a large number of employees to meet this demand. In the future, with the improvement of labeling level in AI industry, labeling tools will also change the demand of labeling workers from the current threshold to professionals who need a lot of knowledge.

What are the requirements of data annotator?

The final data of data annotation is for the computer, so the finer the annotation, the more effective the training of the computer. This requires our annotator to be a serious person. The more careful you are, the more accurate the annotation data will be. Because data annotation must repeat one or more actions in a scene, this repetitive work is boring except for judgment, which requires our reporter's patience and ability to sit still. In addition, the marked data scenes are constantly changing, and there are many complex scenes, which requires our annotators to have strong observation. ?

What is the prospect of data annotator?

Artificial intelligence data annotator has a good prospect in recent years, because these years are the period of rapid development of artificial intelligence, so the industry of artificial intelligence data annotator is still very popular. In addition, due to the wide application of artificial intelligence, the current professional certification, development path, etc. All parties are developing in a formal and extensive direction. At the same time, there is a growing demand for trainees in related industries, but there are also more development opportunities.

In the future, the accuracy of data labeling will become a major focus of the industry. With the continuous maturity of artificial intelligence technology, the accuracy of scene data will be higher and higher, and the AI basic data service industry will also turn to intelligence and automation, further enhancing the degree of specialization for subdivided scenes.