An efficient method of automatically updating the worker pool of crowdsourcing-based projects for generating artificial intelligence learning data is provided. The method includes the steps of setting a participation qualification for the project when a crowdsourcing-based project (hereinafter, referred to as a project) is opened, extracting a plurality of workers who meet the participation qualification and fixing and generating a worker pool, to the worker pool Assigning a plurality of tasks to a plurality of included workers and requesting the task to be performed, measuring the actual number of tasks performed by the plurality of workers during the nth unit period (where n is a natural number greater than 1) , Calculating the required number of work during the n+1th unit period after the nth unit period as a value obtained by subtracting the actual work quantity of the nth unit period from the target number of work in the nth unit period, the n+ Determining whether the worker pool needs to be updated by comparing the required number of work during a unit period with the basic work quantity of the unit period, and determining whether the participation qualification at the start of the n+1th unit period according to the determination result And automatically updating the worker pool by newly extracting a plurality of satisfied workers.
展开▼
