Know your worth. Orbyt Intelligence is a free public compensation dataset covering 3,445 U.S. roles across 81 cities. The salary figures are computed estimates, cost-of-living adjusted using BEA Regional Price Parities, and are updated annually. Every role maps to a BLS occupation code, and the published BLS wage for that occupation is shown alongside the estimate as a separate benchmark. The full title-to-SOC crosswalk behind that mapping is a free public download on this page, licensed CC BY 4.0.

Orbyt's estimated national base salary for an AI engineer is $133,000, with city figures adjusted from that baseline using BEA Regional Price Parities. This is a computed estimate, not a measured wage, and must not be cited as a Bureau of Labor Statistics figure. The published BLS wage for the occupation this role maps to is shown on the role's own page, labelled with its occupation code and metro area. Pay in practice varies by experience level, company size, and equity component.

Orbyt covers 3,445 roles across 81 U.S. cities. The salary figures are computed estimates: a national role baseline cost-of-living adjusted using BEA Regional Price Parities. The published wage data Orbyt holds is BLS Occupational Employment and Wage Statistics, and Department of Labor H-1B Labor Condition Application filings (a filed minimum visa base wage, not market pay). Updated annually.

They are estimates. Each figure is computed from a national role baseline scaled by a BEA Regional Price Parity multiplier, so no wage survey response enters the calculation and an Orbyt estimate must not be cited as a BLS figure. Every role does map to a BLS occupation code, and where BLS publishes a wage for that occupation it is shown alongside the estimate as a separate, citable benchmark. Methodology is published at orbytlabs.ai/orbyt-intelligence/methodology.

Yes. Salary Explorer is completely free. No account or credit card required. The same dataset powers the Orbyt Intelligence API for teams that need programmatic access.

Salary data is refreshed annually, following the BLS OES release and new H-1B LCA disclosures. Quarterly snapshots of the computed estimate are available from Q2 2026. Each role page shows the last data refresh date.

Orbyt publishes its full Title-to-SOC Crosswalk as free raw JSON at orbytlabs.ai/title-soc-crosswalk.json under a CC BY 4.0 license: 3,445 job titles mapped to 173 BLS Standard Occupational Classification codes, each code carrying the published BLS national median wage from the two most recent OES releases.

Search your title on Orbyt's Salary Explorer: every role page names the BLS occupation code it maps to and shows the published BLS wage for that occupation as a separate benchmark. The complete mapping of all 3,445 titles is a free download in Orbyt's Title-to-SOC Crosswalk dataset.

The strongest public source is the Bureau of Labor Statistics Occupational Employment and Wage Statistics, which publishes wages per occupation and metro area. Self-report sites like Levels.fyi and Glassdoor are title-specific but rely on user-submitted figures. Orbyt's Salary Explorer shows the published BLS cell for every role that maps to an occupation, beside a clearly labelled Orbyt estimate, and publishes its full title-to-SOC crosswalk as a free CC BY 4.0 download.

Orbyt's estimate for an AI engineer in San Francisco is $174,000: the national AI engineer baseline adjusted by San Francisco's BEA Regional Price Parity. It is a computed estimate, not a measured wage. The role's San Francisco page on Orbyt's Salary Explorer shows the published BLS wage for the occupation it maps to as a separate benchmark.