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 ...

Following the pandemic, digitalization accelerated and enterprises started investing aggressively in artificial intelligence (AI) and automation to improve their business processes and drive ...

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, ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has made significant strides in recent years, largely due to ...

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, ...