Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the world around us.

Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is pictured on a laptop in New York on Aug. 16, 2023. Credit - Gabby Jones—Bloomberg/Getty Images On TikTok, ...

After waves of user requests, annotations are finally back in Google Analytics and GA4’s version is more useful than ever. Whether you manage analytics for a brand, agency or client, annotations are ...

Elon Musk’s A.I. firm is scaling back on “generalist A.I. tutors.” Allison Robbert/POOL/AFP via Getty Images Data annotation may not be the most glamorous job in Silicon Valley, but it’s indispensable ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

The July uprising did not emerge from ideology alone; it reflected a deeper structural frustration: large numbers of educated and semi-educated young people facing narrowing pathways into stable work.