The article mentions that as the competition between Chinese and American large-scale models intensifies, major companies like Baidu and ByteDance have begun to aggressively recruit "AI Data Labelers" to enhance the quality of model training data, with monthly salaries around 20,000 RMB. These positions require high standards and have seen a surge in recruitment. The primary role of these "examiners" is to evaluate and judge the automatically generated answers of large models. Although the work is monotonous, the high salaries attract countless job seekers. China's large-scale models have not yet reached the level of GPT-4, and the development bottleneck lies in data quality. Hiring data labelers is expected to improve this situation, paving the way for new breakthroughs in China's large-scale models in the future.
Major Companies Rushing to Hire AI Data Annotators with Monthly Salaries of 20,000 as 'Examiners' for Large Models

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This article is from AIbase Daily
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