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 ...

On TikTok, Reddit, and elsewhere, posts are popping up from users claiming they’re making $20 per hour—or more—completing small tasks in their spare time on sites such as DataAnnotation.tech, ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

China has issued new guidelines to steer the high-quality development of its data annotation industry in the next two years, marking a critical step in fostering the high-quality growth of data ...

Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data from cameras, LiDAR, and radar is annotated using ...

On a chilly New York afternoon in February, Leon Campbell hunkered down at his desk in an office in midtown Manhattan. He cued up a podcast about gaming and launched a software platform on his laptop.

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...