Labor market information is often organized by codes that group together similar jobs into a hierarchy of standard occupations. The most commonly used hierarchy in the US is the Standard Occupational Classification (SOC) from O*NET.

Job seekers and employers, however, use many different variations in titles to describe a job. These real-world differences often make mapping job titles to SOC codes for research or analysis a difficult task.

In partnership with NASWA and the NLx Research Hub, RIPL developed Sockit — a freely available tool that can determine the most likely SOC code for a free-text job title using Natural Language Processing (NLP) and data science techniques. Try it for yourself here.