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Industry · Recruiting & staffing

Recruiting & staffing data licensing for AI.

Quick answer

Recruiting firms record a complete workflow from job requirement to placement: sourcing, screening notes, interview evaluations, client feedback and outcomes. Outcome-labeled hiring workflows are useful for AI developers building recruiting agents and evaluation sets.

Business context

Candidate data is personal data, so de-identification and fairness review are central. Workflow structure, evaluation rubrics and outcomes are often the most valuable parts.

Valuable recruiting & staffing datasets

DatasetWhat it contains
Job requirementsRole specs and intake notes
Screening and evaluationsStructured interview feedback
Client feedbackAccept/reject decisions with reasons
PlacementsOutcomes linked to the workflow

How AI developers use it

  • Recruiting agents
  • Screening assistants
  • Evaluation datasets

Privacy, legal and security considerations

  • Candidate privacy
  • Anti-discrimination rules
  • Client confidentiality

How SourceX approaches it

We start with a description of your systems — no data leaves your company during assessment. If there's relevant demand, we propose scope, permitted use and preparation requirements for your approval, and nothing is delivered without an executed agreement and your explicit authorization.

Related data categories

Frequently asked questions

Is candidate data licensable?
Typically only in de-identified form and where consent and local law allow.

Related resources

See if your company qualifies

A short company assessment. No data uploads are needed.

Estimate my data's value