Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...

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 ...

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, ...