The invention discloses a sample data labeling method and device, computer equipment and a storage medium. The method can comprise the steps of obtaining an initial labeling model, m pieces of sampledata which are selected from the uploaded sample data by a user and marked forming a training data set, and M being a positive integer greater than 1; carrying out model optimization processing including that a training data set is used for carrying out fineturning on the annotation model, and the optimized annotation model is obtained; if the sample data meeting the preset requirement can be selected from the unlabeled sample data, the selected sample data is combined into a training data set after being labeled by a user, the model optimization processing is repeated, and otherwise, the unlabeled sample data is labeled by using the latest obtained labeling model. By applying the scheme of the invention, the labor cost can be saved, the processing efficiency can be improved, and the accuracy of the labeling result can be improved.