1. A computer implemented method of tagging utterances with Named Entity Recognition (“NER”) labels using an unmanaged crowd, the method being implemented in an end user device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the end user device to perform the method, the method comprising: obtaining, by the computer system, a plurality of utterances relating to a domain, the domain being associated with a plurality of entities, each entity relating to a category of information in the domain; generating, by the computer system, a first annotation job configured to request that at least a first portion of the utterance be assigned to one of a first set of entities, from among the plurality of entities, wherein a number of the first set of entities does not exceed a maximum number such that cognitive load imposed on a user to whom the first annotation job is provided is controlled; generating, by the computer system, a second annotation job configured to request that at least a second portion of the utterance be assigned to one of a second set of entities, from among the plurality of entities, wherein: a number of the second set of entities does not exceed the maximum number such that cognitive load imposed on a user to whom the second annotation job is provided is controlled, the first portion and the second portion are the same or different and the first set of entities is different than the second set of entities, and the user to whom the first annotation job is provided is the same or different from the user to whom the second annotation job is provided; causing, by the computer system, the first annotation job and the second annotation job to be deployed to the unmanaged crowd; and receiving, by the computer system, a plurality of annotations provided by the unmanaged crowd, the plurality of annotations comprising a first annotation relating to the first annotation job and a second annotation relating to the second annotation job.
9. The method of claim 1 , the method further comprising: generating, by the computer system, a plurality of domain classification jobs configured to request that an utterance be classified according to a domain; causing, by the computer system, the plurality of domain classification jobs to be provided to the unmanaged crowd; and receiving, by the computer system, results of the plurality of domain classification jobs, wherein the plurality of utterances are determined to be related to the domain based on the results of the plurality of domain classification jobs.