# Reward Model We created a reward model based on the bonuses paid by AI entities for labeling tasks and the number of makers and checkers assigned to each case. This model will allow users to clearly see the income they will earn for each label they complete, along with the points and token rewards they will receive. **Reward Model** Assume a labeling project has a total value of A USDT. The AI Entity assigns m Makers and n Checkers to participate in voting. The Maker with the highest score receives a USDT, the Checker with the highest score receives b USDT, and Makers and Checkers who do not receive the highest score will receive c USDT. --- # 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.dedata.io/product-guides/reward-model.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.