"10 million +"
This is the total number of people currently engaged in data labeling industry, and this number is still rapidly increasing.
Data labeling, also known as the cornerstone of artificial intelligence, this industry for more than 90% of the employees are composed of data labeling members.
Compared with the artificial intelligence industry, "high tech" and "high-value" label, labeling data members are engaged in work is still labor-intensive work, the only possibility is detached and technology need to hold the computer every day to operate.
"To be honest, although belonging to artificial intelligence data marked member of the industry, but actually dip a little edge, and those who are truly engaged in scientific research is completely different, they understand technology, understand the principle, but we just do the most basic work of tagging data only. they may be our wages ten times. we need to understand what is marked and probably the rest of the marked difference in the proficiency of where we are. "an ordinary member of such data labeling to describe their work.
In fact, as the data band members said, the work of members of the general data marked repetitive and boring day in front of pictures, video, text and other data, constantly engaged in down box, punctuation and other operations, wage levels in the industry of artificial intelligence the lowest level.
However, although the data marked with a variety of staff positions shortcomings, but still absorb a large number of employed people, good work is simple to operate, no wind and sun, wages are relatively good reason a lot of people can not refuse.
However, the data marked the arrival of new trends in the industry, will have a disruptive impact on the data label part of this job.
For a long time, data tagging industry is slash and burn, under extensive state, and artificial intelligence industries annotation data related to quality not pay enough attention. However, with the gradual AI technology from the laboratory to reality, many companies found previously marked quantity and quality of data is not enough support from the landing AI technology, artificial intelligence industry urgently needs refinement, the scene of the annotation data.
This data marked level of competence and knowledge of the members of the reserve presents a great challenge. Medicine industry members need to mark marked medicine or related data, we need to mark the legal profession class members mark law or related data, marked with the relevant members of industry knowledge will be more favored by the business, and the ability to more general data marked members will face the crisis of being eliminated.
We can say that the next data marked upgrade the road industry, will also be adjusted within the data member mark posts and optimization of the road, the industry will absorb a large number of highly qualified employment population, will be the ability to eliminate a number of common fish in troubled waters, it can be described as opportunities and challenges, available for play space is unlimited.