As the artificial intelligence industry evolves, the training of large models places higher demands on data annotation. Data labelers, who perform foundational work, earn only a few dozen yuan per day, with piece-rate pay amounting to just a few cents per item. The data annotation industry is fiercely competitive, and the instability of orders often leads to companies closing down. In the era of large models, the educational requirements for data annotation work have increased, and automated annotation technology is gradually replacing manual annotation. Data labelers face the risk of unemployment and need to promptly transform and upgrade their skills. Data service providers, by innovating technologically, enhance the level of automation in annotation, gaining an edge in the industry's transformation.