What kind of data collection projects do you have? Projects on the platform run the gamut: from survey-style work, to interacting with chatbots, to creative writing tasks, and much more!

Jul 15, 2025 · Data annotation is the process of labeling data to make it recognizable and usable for machine learning models. It is a critical step in developing AI systems that can accurately interpret …

Aug 22, 2025 · Data annotation is the process of labeling raw data to help machine learning models understand it. From tagging images of cats to marking entities in text, annotation trains AI systems to …

May 5, 2025 · In the simplest terms, data annotation is the process of labeling or tagging data to make it understandable for artificial intelligence (AI) and machine learning (ML) models.

Jul 23, 2025 · Data annotation involves various methods tailored to different types of data and the requirements of AI models. Here are the primary methods used for annotating different types of data:

Data annotation is the process of labeling or tagging relevant metadata within a dataset to enable machines to interpret the data accurately. The dataset can take various forms, including images, …

Feb 5, 2025 · Data annotation is the process of tagging or labeling different kinds of data. This data could be text, images, videos, or audio. We do this so AI models can learn from examples and …

Sep 10, 2025 · This guide will walk you through what data annotation is, why it matters, the different types, tools, and techniques, and how to get started with practical, actionable steps.

Apr 4, 2025 · Data annotation plays a vital role in preparing unstructured data—such as videos, images, and text—for training machine learning (ML) models. It involves tagging, labeling, or categorizing …

Data annotation is the process of labeling, tagging, or transcribing raw data to provide context that a machine learning (ML) model can understand. This step is fundamental to supervised learning, …