Data · Methodology & provenance
AI Hiring Data — how it’s built
A one-page basis for buyers and compliance teams. Updated 2026-06-14.
- n
- 43,675
- as of
- 2026-06-14
- version
- v2026.06
- geo
- 18 countries
What it is
A monthly measure of AI hiring: how many AI roles are open, by company, country, skill and seniority, plus salary ranges where employers show them — currently 43,675 active AI postings.
Where it comes from
Public job postings from public job sites. We collect only pages that are openly visible — we never log in, and we never touch private or paywalled pages.
What we sell — and what we don't
We sell only aggregated numbers and public links (counts, medians, trends). We do notsell anyone’s name, email or personal contact details.
History you can trust for backtesting
We take a snapshot every month and never edit past snapshots. Companies that stop hiring stay in the history, so the data has no survivorship bias and is safe to backtest. Search-demand history goes back four years; hiring-supply snapshots run forward monthly.
No insider information
Everything is built from public sources. The data contains no private, confidential or material non-public information of any company.
How we define an "AI role"
A published, repeatable rule based on job title and description (machine learning, LLM, NLP, computer vision, AI engineering and related). The rule is documented and applied the same way every month — see the methodology.
Coverage
Coverage spans 18 countries — the US, Canada, Australia and 15 European markets, led by the US, Germany and the UK. Salary ranges are included wherever employers disclose them.
Delivery
Monthly file (CSV) or API. A free sample and a point-in-time test slice are available on request.
Want the sample or a point-in-time test slice for backtesting?