ML/AI Work Research
ML/AI Work Research tracks the market for AI talent from both sides: what employers post — a corpus of 34,150 active AI job postings — and what job seekers search, four years of Google search demand across 18 markets. Seven named indexes, each citable with a sample size, an as-of date and a dataset version.
Every figure is computed from a published, versioned snapshot — see the methodology for how an AI job is defined, how pay is annualized, and how the series are maintained.
Posting corpus
What employers post: volume, pay and required skills across active AI vacancies.
34,150 active AI postings (baseline 100 at 2026-06-07) — by market and specialization
View the index →median advertised pay across 20,880 disclosing postings — quartile bands on floor and ceiling
View the index →of AI vacancies ask for Machine Learning — skill share across 34,150 postings
View the index →Search demand
What job seekers search: four years of Google search demand for AI roles and employers, 18 markets, paired with the corpus above.
search demand for AI roles, 2026-04 (Jun 2022 = 100) — +86% in 4 years
View the index →Anthropic careers searches vs OpenAI — the most-searched AI employer
View the index →searches per live posting across 16 AI roles — where seekers crowd and where they don't look
View the index →of AI postings name OpenAI / GPT — the model wars, demand side
View the index →Cite thisn=34,150 · as of 2026-06-10 · v2026.06
ML/AI Work, "ML/AI Work Research", dataset v2026.06, n=34150, as of 2026-06-10. https://mlai.work/research