loyoladatamining/usajobs_coded

USAJOBS Coded Dataset (2017-01 to 2026-03)

Dataset Description

The USAJOBS Dataset is a comprehensive collection of federal job postings from January 2017 through March 2026. This dataset includes full-text job descriptions, and structured metadata (job title and employer).

In this coded version, we presented the structured features assigned to each of the postings (by usajobsControlNumber), as produced by JAAT.

Dataset Structure

Splits

This dataset is organized by month to allow for easy time-series analysis without requiring the user to download the entire multi-year corpus.

• Monthly Splits: Format YYYY_MM (e.g., 2017_01, 2025_12).

Data Fields

Each split contains the following fields:

• usajobsControlNumber: Unique identifier code for the USAJOBS job posting.
• wage_min: Minimum salary detected by WageExtract.
• wage_max: Maximum salary detected by WageExtract.
• wage_freq: Frequency of the wage (e.g., hourly, annually) by WageExtract.
• title_code: O*NET occupation code (TitleMatch).
• title_score: Confidence score of the above.
• title_value: Extracted numerical value of the title, based on seniority and experience (TitleMatch).
• title_features: Categorical features of the title, if any (TitleMatch).
• flesch_kincaid: Readability score measuring the complexity of the job posting text.
• CitizenshipReq: Boolean flag indicating if United States citizenship is mandatory.
• GovContract: Boolean flag indicating if the position involves government contract work.
• VisaExclude: Boolean flag indicating if specific visa types are barred from applying.
• VisaInclude: Boolean flag indicating if visa sponsorship options are explicitly included.
• WorkAuthReq: Boolean flag indicating if valid proof of work authorization is requested.
• driverslicense: Boolean flag indicating if a valid driver's license is required.
• ind_contractor: Boolean flag indicating if the job operates as an independent contractor role.
• proflicenses: Boolean flag indicating if specialized professional licenses are required.
• wfh: Boolean flag indicating if the position offers work-from-home or remote options.
• yesunion: Boolean flag indicating if the position belongs to a labor union.
• tasks: Text string capturing the coded O*NET tasks, extracted by TaskMatch.
• skills: Text string capturing the ESCO skills extracted by SkillMatch.
• concepts: Text string of the custom-extracted concepts extracted with ConceptSearch.
• ai_codes: AI taxonomy codes extracted by AIMatch (beta).
• ai_matches: How many AI codes were extracted.
• ai_score: Overall AI score, following a custom scoring scheme.
• ai_selection_score: Extraction score representing confidence that the statement is AI-related (;-delimited list of scores).
• ai_match_score: Same as the above, but now for matching confidence.
• ai_score_v2: Updated version 2 of our custom AI scoring.
• ai_strict_score: AI score representing only frontier AI work.
• ai_lenient_score: AI score that is more lenient in the defintion of "AI".

If you find this dataset useful or utilize it for your work, please consider citing our working paper:

@article{meisenbacher2025extracting,
  title={Extracting O* NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data},
  author={Meisenbacher, Stephen and Nestorov, Svetlozar and Norlander, Peter},
  year={2025}
}