If artificial intelligence is the inevitable future of the simultaneous leap of human life and productivity, then AI data annotators will undoubtedly become the main force for human "domestication" of artificial intelligence in the future.
Nowadays, AI, artificial intelligence, big data, 5G and other concepts no longer amaze people, but the new life created by these technologies makes everyone feel as if they are entering a "science fiction" movie. We can already see cute smart speakers every day, L3 autonomous driving that is in the experimental stage, and 5G high-speed networks that have been popularized in individual cities and regions.
Our daily lives are closely tied to the development of these science and technology, and at the same time, the vigorous development of science and technology has also created new lifestyles, industries and even new employment fields.
Artificial intelligence annotators are the key positions in the artificial intelligence industry to undertake a large number of data annotation, although in the modern era of computer and automation technology replacing labor, artificial intelligence annotators are still "labor-intensive" positions in the cutting-edge technology of artificial intelligence.
The learning of artificial intelligence (whether it is self-learning or supervised learning) needs to be assisted by manually labeled data to ensure that the "learning" and "cognition" of artificial intelligence are consistent with humans. Therefore, the "cultivation" of an artificial intelligence requires a continuous and massive amount of data and data labels to enable it to perceive the world, and then form a knowledge map.
AI labeler is an emerging profession spawned by the "cultivation" demand of artificial intelligence, and in February 2022, "AI trainer" (AI annotator/AI annotator) was officially recognized as a new profession and included in the national occupational classification directory. Its main work content is the collection and annotation of data, through the input of labeled pictures, audio, video and other data to artificial intelligence, so that artificial intelligence can recognize data, learn to think, perceive, make decisions like people, and better serve human beings.
In fact, the work content of artificial intelligence data annotators is not "intelligent", only "artificial" with a huge amount of engineering. The specific work content is to select and mark a special point in the video and picture. The simplicity of the job isn't even as simple as brushing a bowl, and the threshold is so low that you can use a mouse (some annotation work doesn't even require a keyboard).
To quote an artificial intelligence labeling enterprise, artificial intelligence labeling enterprise is "artificial intelligence Foxconn", you can imagine how low the employment threshold is. Therefore, many people think that the income of a job with such a low employment threshold must not be too high.
In fact, as far as most labeling companies are concerned, they are still mainly based on the "piece-rate payment" model, and the treatment of labelers is directly related to the amount and difficulty of tasks.
According to industry insiders, the general income of artificial intelligence annotators is generally about 300 yuan, and for some excellent artificial intelligence annotators (outstanding ability to mark thousands of pictures or 2 million marking points per day), the daily income is usually more than 1,000, of course, there are some annotators with poor work ability (slow hand speed or equipment failure, etc.), the daily income is basically about 200 yuan.
Through the description of a large number of artificial intelligence annotators, the general average salary in 7000~9000 yuan is the norm in this profession, although it is not how "high salary", but compared to the overall environment of the current job market, income still makes many groups "speechless".
"It is said that data is the oil of the era of artificial intelligence (AI), and the job of data annotators is to refine crude oil into gasoline."
"An AI trainer is like a 'preschool educator', teaching AI to better understand data."
Although this educational artificial intelligence "preschool education" work is simple, it is not who wants to do it, it also has a certain degree of professionalism, trained to know how to mark, clear mark, people must also be careful and careful, otherwise the cognition of artificial intelligence will be wrong.
On November 25, 2021, the Bureau of Human Resources and Social Security released the professional skill standards for artificial intelligence trainers, which have five different levels of L1-L5, which clearly give the different skills required at different stages, so AI annotators also need to master certain vocational skills. It is believed that with the introduction of the artificial intelligence trainer standard, data annotators will also develop in a more standardized and orderly manner through the establishment of standards and specifications.
In the future, artificial intelligence annotators will inevitably become the basis for the continuous maturity and progress of artificial intelligence technology, and the accuracy and requirements of data labeling will inevitably gradually improve, so the professional skills learning and training of artificial intelligence annotators will also become a top priority. Only by constantly improving yourself will you shine in this profession.