The structure of your data labeling process will depend on various factors, including the size and complexity of your dataset, the types of annotations required, and the resources available to you.
Generally speaking, it's a good idea to have a clear set of labeling guidelines in place, use multiple annotators to reduce errors and inconsistencies and implement quality control processes to ensure the accuracy and consistency of the data.