Refuel LLM-2 is an advanced language model designed for data annotation, cleaning, and enrichment. It has outperformed all existing state-of-the-art language models, including GPT-4-Turbo, Claude-3-Opus, and Gemini-1.5-Pro, in benchmark tests for approximately 30 data annotation tasks. Refuel LLM-2 aims to improve data team efficiency by reducing manual labor in data cleaning, standardization, and annotation, thus enabling faster realization of data commercial value.