AI Salary Calculator

Our estimates are based on disclosed compensation from real job postings, not self-reported surveys. We analyze salary ranges from major job boards weekly. That said, posted ranges can differ from final negotiated offers, and not all companies disclose compensation. Treat these numbers as well-grounded benchmarks, not guarantees.

Three factors dominate: role type, location, and specialized skills. Senior AI/ML engineers in San Francisco can earn 40-60% more than the national average. Niche skills like fine-tuning, RAG architecture, and production MLOps command measurable premiums. Company stage matters too: well-funded startups and public tech companies tend to offer the highest base compensation.

We compare the median maximum salary for jobs that list a specific skill versus the overall median across all roles. A +15% premium for RAG, for example, means jobs mentioning RAG have a median max salary 15% higher than the baseline. This captures market demand, though correlation is not causation: senior roles simply tend to require more advanced skills.

We refresh our job posting data weekly, pulling from major job boards and company career pages. The calculator uses the latest available dataset, which typically covers several thousand active AI and ML positions with disclosed compensation.