Data Catalog.
AI compensation, decoded. Six engines for the AI labor market across 3,445 roles (598 specialized), 81 cities, 54 company leveling frameworks. 15M+ data points. Available via REST API and MCP. Updated May 2024 (Q2 2024).
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 (< 50), growth (50-500), scale-up (500-5K), and public (5K+) 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%.
Quarterly snapshots of our computed estimate since Q2 2026. Each response states what the series does and does not show.
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
3445 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
81 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.
International coverage
Beyond the United States, the dataset covers the United Kingdom and Canada, built from government wage data. UK figures come from ONS ASHE in GBP and are national today. Canada comes from ESDC and is available per city in CAD. Pass the country parameter on any salary endpoint, or see the international coverage hub for the full country breakdown.
Temporal coverage
Annual trends from 2022 through 2026 (5 years). Annual snapshots since Q3 2025. Forward projections through 2030. Historical data is back-calculated from the current baseline using per-role growth rates. Annual snapshots are stored independently and reflect actual data point updates.
Data sources
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.
Bureau of Economic Analysis RPPs. Cost-of-living multipliers for metropolitan statistical areas relative to the national average.