As China and the United States compete in the field of big models increasingly fiercely, Chinese technology giants such as Baidu and ByteDance are recruiting "AI data annotators" on a large scale to improve the quality of their model training data. The monthly salary of these positions is as high as about 20,000 yuan, attracting a large number of job seekers. Although the work content is relatively boring, the high salary and industry prospects make this position extremely popular.
The main responsibility of the AI data annotator is to rate and judge the answers automatically generated by the big model to ensure the accuracy and high quality of the data. Although this process is cumbersome, it is crucial to improve model performance. With the development of China's big models, data quality has become a key factor restricting its further breakthroughs.
At present, China's big models have not yet reached the level of GPT-4, and its main bottleneck lies in data quality. By hiring a large number of AI data annotators, technology companies hope to improve this situation and make new breakthroughs in future big model competition. This strategy not only improves data quality, but also provides new impetus for the development of China's AI technology.
The phenomenon of high-paying recruitment of AI data markers reflects the ambitions of Chinese technology companies in the field of big models. As competition between China and the United States intensifies, the importance of data quality is becoming increasingly prominent. By improving the accuracy of data annotation, Chinese big models are expected to achieve a qualitative leap in the future and narrow the gap with the international advanced level.
In general, the recruitment boom of AI data markers not only provides job seekers with high salary opportunities, but also injects new vitality into the development of China's big model. With the continuous improvement of data quality, China's competitiveness in the field of big models will gradually increase, and it is expected to occupy a more important position in the global AI technology stage in the future.