An AI job boom? Here’s what the tedious, temporary work in data labelling is actually like

The growth of artificial intelligence has created a demand for large-scale data labeling, a process that relies on human workers to categorize information for machine learning models. This labor often consists of repetitive, low-paid tasks that lack long-term job security or career advancement. While the industry is often framed as a technology boom, the reality for many participants is a reliance on precarious, short-term contracts.