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The compliance layer of the AI hiring stack

Snapshot 2026-08-19 · 22,102 listings from 36 sources · CC BY 4.0

Of 6,349 live remote listings, 77.2% state no eligibility rule at all. Among the 1,445 that do, 59.8% (Wilson 95% CI 57.2–62.3) exclude candidates outside a named region. Listings tagged "worldwide" are barely different: 58.1% of those that state a rule still restrict it.

Why the number is a range, not one figure

A restriction can be written by the employer or imposed by the feed. Adzuna boards, for example, are single-country datasets, so a listing there is closed to outsiders whether or not the ad says so. We report all three counts rather than picking the most quotable one.

DefinitionRestrictedn95% CI
Listing text only (pre-registered primary)59.8%1,44557.262.3
Listing text, excluding single-country feeds69%1,03666.171.8
Text plus feed-level country scope (upper bound)78.8%2,24677.180.4

Where the restrictions point

Regions required by restricted listings (% of restricted listings)US50%Europe13.3%other10.4%UK6.1%Canada5.7%APAC-country5.4%LATAM3.9%ANZ2.2%

Half of all restricted listings require one country. Meanwhile only 2.9% of remote listings name a time-zone requirement at all, so the constraint is jurisdictional rather than operational.

Advertised pay

46.2% of remote listings advertise pay. The median among them is $170,000 a year, skewed toward US technology roles. Split by eligibility: restricted listings $173,502 (n=465) against open listings $163,000 (n=229) — too close to claim as a real difference. The pay hypothesis from the July study did not reproduce.

Openness looks like a company property (exploratory)

The pre-registered test required 20 or more stated-rule listings per employer; only six clear that bar, so it is underpowered and we report it as a failure. At a threshold of 10 listings — exploratory, not pre-registered — 16 employers qualify, and 68.8% of them are open on one in ten or fewer of their listings.

EmployerOpen raten
Multiverse100%14
Supabase87.5%16
Bjak65.2%23
ElevenLabs27.8%18
EverAI26.7%30
1Password0%29
OpenAI0%61
ButterflyMX0%13
UiPath0%15
Tenstorrent0%14

Method

  • Single cross-sectional read from production D1. No time-trend claims.
  • Labels re-derived from current listing text, never read from the stored column.
  • Classifier validated first on 120 hand-labelled rows: 90.9% precision and 87% recall on restricted listings, 100% on open ones.
  • Re-derived labels agree with the production labels on 86.4% of rows; the gap is reported rather than hidden.
  • Listings stating no eligibility rule are excluded from denominators rather than counted as open. Onsite roles are excluded.

Limitations we state up front: silence is not openness; text is not law (an employer can write “open to anyone” and still be unable to run payroll in your country); and one index is not the global labour market — our sources skew toward English-language technology employers.

Aggregate dataset (CC BY 4.0)

Every figure on this page, with its sample size and confidence interval.

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The write-up: The AI hiring stack breaks at the border