Abstract: A proposal generator generates a proposal or request for employment with content derived from a job seeker description such as a résumé. The proposal generator relies on a natural language processor for text recognition, named entity recognition, skills identification. The proposal generator uses a trained classifier to compare skill sets of a task description to skill sets of a job seeker. A proposal is generated if a sufficient quantity of comparison scores and relevancy scores are determined for a particular pair of task description and job seeker description. The proposal has a relatively high likelihood of passing through a screener and being reviewed by a human employment decision maker.