# Labelers Data labelers within the Alpha Chain are tasked with annotating and tagging datasets, a crucial step in preparing data for machine learning models. By labeling the data, these professionals help to identify and categorize data points, making it easier for AI companies and researchers to find the specific datasets they need for training their models. The meticulous work of data labelers adds significant value to raw datasets, transforming them into well-organized, usable resources that can accelerate AI development. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.alphaos.net/whitepaper/alpha-chain/roles/labelers.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.