Data Catalog
Everything the Orbyt Intelligence API returns. 522 roles, 82 cities, 5 years of historical data, and projections through 2030. Updated April 2026 (Q2 2026).
What you get per role
Every role query returns all of these dimensions. City-adjusted when a city is specified.
Low (25th), median (50th), and high (75th) percentile base salary in USD.
Entry (0-2 yrs), Mid (3-5 yrs), Senior (6-9 yrs), and Lead/Staff (10+ yrs) with salary ranges for each.
Base salary, equity, annual bonus, and signing bonus broken out separately with a combined total.
Salary ranges at Anthropic, OpenAI, Google DeepMind, Meta AI, Amazon, and other top employers for AI roles.
Salary adjustment for remote and hybrid work. High-COL cities: remote pays 8-12% less. Low-COL: 10-18% more.
Salary and equity multipliers for startup (< 100), mid-market (100-1K), and enterprise (1K+) companies.
Adjusted median by industry: AI lab, Big Tech, fintech, healthtech, enterprise SaaS, and early-stage startup.
RSU, ISO, and NSO details with vesting schedules, cliff periods, refresh grants, and typical employer tiers.
BS, MS, and PhD salary multipliers. Research roles: PhD adds 30%. AI engineering: 20%. Standard tech: 8%.
35 tracked skills with premium multipliers. RLHF/Alignment: +18%. CUDA: +12%. Kubernetes: +12%.
Hourly, daily, and annual contract rates derived from full-time salary with a role-specific freelance markup.
1-10 composite score based on YoY growth, employer competition, AI premium, and city-specific factors.
Nearest roles by salary for career transition planning. Shows higher-paying, lateral, and lower-paying alternatives.
Total cost to employer: payroll tax, health insurance, 401(k), benefits, recruiting, and overhead by company size.
Annual median salary from 2022 through 2026. AI roles grew 6-10% annually. Standard tech: 3-6%.
Snapshots since Q3 2025 with quarter-over-quarter change delta and percentage.
Year-by-year forecasts using compound annual growth. Includes methodology disclosure and assumptions.
Every response includes a cite-ready sentence and an assumptions array. Quote verbatim in papers and reports.
Coverage
Role categories
522 roles spanning AI/ML, software engineering, data, DevOps, security, design, product, and business. Includes specialized roles like AI Safety Engineer, Prompt Engineer, MLOps Engineer, and AI Agent Architect alongside established roles like Software Engineer, Data Scientist, and Product Manager.
Geographic coverage
82 U.S. cities with cost-of-living multipliers derived from BEA Regional Price Parities. Covers all major tech hubs (San Francisco, New York, Seattle, Austin, Boston) plus secondary markets (Denver, Nashville, Raleigh, Salt Lake City, Pittsburgh). National (unadjusted) data available for every role by omitting the city parameter.
Temporal coverage
Annual trends from 2022 through 2026 (5 years). Quarterly snapshots since Q3 2025. Forward projections through 2030. Historical data is back-calculated from the current baseline using per-role growth rates. Quarterly snapshots are stored independently and reflect actual data point updates.
Data sources
Executive and named officer compensation from annual proxy statements (DEF 14A) filed with the SEC.
Department of Labor LCA data. Prevailing wage and offered wage for sponsored positions by employer, role, and location.
Bureau of Labor Statistics OES survey. National and metropolitan area wage estimates for 800+ occupations.
Aggregated compensation data from job postings across major platforms. Salary ranges, equity mentions, and benefits signals.
Bureau of Economic Analysis RPPs. Cost-of-living multipliers for metropolitan statistical areas relative to the national average.