The paper expounds the annotation process and methods of medical semantic crowdsourcing annotation platform in detail, including platform role allocation, dynamic task allocation, user capability assessment, quality control and inspection, etc., introduces the technical architecture, structure and functions of the platform, and compares the application effect of traditional manual annotation and crowdsourcing annotation platform by experiments. The results show that the latter is superior to the former in annotation speed, time consuming and accuracy.