What you need to know
Learn how to compare US AI offers across ten roles, location-specific pay bands, bonuses and equity, with worked examples and a transparent catalogue-coverage snapshot.
A US AI offer may contain base salary, a conditional cash bonus, equity and benefits with different eligibility dates. Comparing only the largest number can hide a lower recurring base or an award that will not vest during the time you expect to stay. Begin with the exact role, hiring location and compensation components rather than a national average for a broad title.
This guide provides a ten-role comparison framework, a fictional USD offer exercise and questions for location-specific bands, equity schedules and first-year rewards. It does not publish a market salary range from unverified catalogue fields. The arithmetic examples are hypothetical, not observations of employers or advice about the value of any investment.
What our United States salary data can and cannot show
Snapshot: 17 October 2026, 10:47 UTC. Among 892 published, not-closed United States catalogue records, 688 had a salary field containing a nonzero digit. That is 77.1% of this catalogue cohort, not a verified employer salary-disclosure rate or a national labour-market statistic. Counts are a dated snapshot, not live counters.
The read-only audit used stored country codes, falling back to country names only when the code was missing. It did not revisit employer pages, normalize currencies or pay periods, distinguish base pay from total rewards, or remove cross-posted requisitions beyond existing catalogue identity controls. Numeric text can include incomplete, stale or incorrectly extracted amounts.
No national or role-level salary range is estimated from this audit. Even a large count does not establish comparability. A future pay benchmark needs employer-source checks, a defined collection window, consistent currency and period, separated seniority and locations, and deduplication rules. Missing salaries are unknown, never zero.
The US cohort has more numeric salary fields than the other country cohorts in this release. That is useful for deciding where to investigate source data first, but it does not validate the amounts or establish a national pay distribution. A location-spanning band, a base-only amount and a total-rewards estimate cannot be pooled as though they measure the same thing.
Compare ten AI roles before comparing their pay
| Role | Catalogue records / numeric-text fields |
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