Large Models Give Rise to Data Annotation Crisis: Annotators Trapped in Meaningless Loops

Large models bring new growth to the data annotation industry, but annotators face difficulties such as low wages and high turnover. Data annotators feel their work is meaningless and are looked down upon by highly educated algorithm engineers, leading to severe internal competition. AI companies are attempting to use automated annotation and synthetic data to replace manual annotation, putting data annotators at risk of obsolescence.