Abstract: Systems and methods for providing a universal occupational taxonomy establish one or more levels of granularity of a plurality of jobs; assemble data for each job of the plurality of jobs; train one or more vector representations, in which a vector representation is trained for each job of the plurality of jobs; reevaluate the one or more levels of granularity based on the training; cluster the plurality of jobs into one or more clusters based on the one or more vector representations; name the one or more resulting clusters a representative title; classify the one or more jobs to the one or more clusters; and output an occupational taxonomy.

Abstract: Systems and methods for providing a universal occupational taxonomy establish one or more levels of granularity of a plurality of jobs; assemble data for each job of the plurality of jobs; train one or more vector representations, in which a vector representation is trained for each job of the plurality of jobs; reevaluate the one or more levels of granularity based on the training; cluster the plurality of jobs into one or more clusters based on the one or more vector representations; name the one or more resulting clusters a representative title; classify the one or more jobs to the one or more clusters; and output an occupational taxonomy.