Salary explorer
AI & ML salary explorer
Median advertised pay for AI, ML, LLM and data-science roles — drill into a specialization, country or seniority and the numbers update from live postings.
As of 2026-06-11, the median advertised salary for AI FinOps and Cost roles tracked by ML/AI Work is $170,000 – $220,000/yr (USD), across 5 postings that disclose pay (ML/AI Work, dataset v2026.06).
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AI FinOps and Cost roles
Figures in USD, the most common currency among the 5 disclosed-pay postings in this slice.
n=5 · as of 2026-06-11 · v2026.06 · methodology ↗
Salary distributionwithin AI FinOps and Cost roles
Fewer than 25 disclosed-pay postings in the selected slice — showing the distribution without the specialization filter.
Most common advertised floor: $125K–$150K — 4,510 of 20,880 disclosed-pay postings.
Median floor by senioritywithin AI FinOps and Cost
Executive-level postings advertise the highest median floor — $174,100 (n=1).
Median floor by specializationwithin all AI roles
AI Design and Conversation pays the highest median floor ($165K); AI Governance Ethics Policy the lowest ($74K).
Pay transparency by countryshare of postings disclosing pay
Only United States postings disclose structured pay (80.9%); the other 11 markets tracked disclose none. The EU Pay Transparency Directive (2023/970) is expected to change this.
Remote vs onsitewithin AI FinOps and Cost roles
Remote postings advertise a comparable median floor but a 13% lower median ceiling than onsite ($220K vs $254K).
AI salary premium by seniorityAI vs non-AI postings · US · midpoint medians
AI postings advertise a +27% median premium over non-AI postings in the same corpus — but the premium compresses with seniority: +75% at Intern level down to +3% at Executive level. The AI premium is an entry-level phenomenon.
Control group: non-AI postings collected by the same pipeline (US, USD, disclosed pay). Within-corpus comparison — one methodology on both sides. As of 2026-06-10.
Cite this
ML/AI Work, "AI & ML salary benchmarks — AI FinOps and Cost roles", dataset v2026.06, n=5, as of 2026-06-11. https://mlai.work/salaries