The technical level of rubber working is the key affecting factor of rubber production. Less skilled laborers harvest about 20%~30% less rubber than those technologically skilled ones. For this reason, we put forward a technical level evaluation method based on the intelligent algorithm. We also design a tapping technology intelligent auxiliary learning instrument. Firstly, we explain the architecture of the intelligent tapping technology auxiliary learning instrument, and construct an evaluation index system of technical level based on the intelligent algorithm. The index system uses the Delphi method to collect 10 evaluation index data, filter and determine the index by the gray relational analysis method, and use the entropy weight method to empower the index, thus obtaining the dosing level quantization function. Then, based on the reverse cloud generator, the tapping horizontal quantization scores are transformed into the qualitative evaluation of the tapping level, and the technical grade is classified. Finally, the k-means clustering method is used to determine the center points of different tapping levels, and the minimum level of European distance is used to identify the technical level of glue peeling. Experimental results show that the proposed method has an over 90% accuracy rate and satisfactory real-time performance. The real-time updating time is less than 3 seconds, which fills the gap in the intelligent auxiliary learning tapping technology, which is beneficial for glue workers to improve the tapping level and increase rubber production, thus having a good promotion and application value.