LabelLLM is an open-source platform designed to streamline the data annotation process for LLM training. It offers customizable task-specific tools and supports multimodal data formats including text, audio, and images. The platform targets independent developers and small research teams, providing task management solutions to improve annotation efficiency for model training datasets.