Annotator

Annotators are essential specialists in the process of developing artificial intelligence and machine learning systems. Their main role is to add tags and contextual information to data such as images, texts or audio recordings.

This annotation process is crucial for training machine learning algorithms, as they require structured and well-labeled data to learn to recognize patterns and make accurate predictions.

Annotation activity may vary by domain and data type. For example, in image processing, an annotator can identify and tag specific objects, such as vehicles, people, or animals, in photos. For texts, annotators can categorize sentiments expressed in reviews or extract named entities (people, places, organizations) from articles. These tags help AI systems better understand content and respond appropriately to user requests.

Technical knowledge is important for an annotator because they can work with specialized software tools that facilitate the annotation process. Also, the ability to work with attention to detail is essential, as mislabeling can lead to inaccurate model results. Annotators must also have good communication skills as they often collaborate with data engineers and researchers to ensure quality standards are met.