The article discusses the harsh working conditions faced by data labelers, who are responsible for training artificial intelligence (AI) systems by manually labeling vast amounts of data. These workers, often employed by third-party vendors, play a crucial role in the development of AI technologies, yet their work is largely overlooked and undervalued. The article highlights issues such as low wages, lack of job security, and exposure to potentially disturbing content without proper support. Advocates argue that these workers deserve better pay, benefits, and mental health resources. The article also raises concerns about the lack of transparency and accountability in the AI industry, as well as the potential for bias and ethical issues arising from the way data is labeled. Overall, the article sheds light on the hidden human workforce behind AI and calls for better treatment and recognition of these essential workers.