AI Eval Engineer
EmergingBuild and operate the continuous measurement layer that tells the organization whether its AI systems are getting better or worse in production.
Who moves into this role
- Backend engineer with testing background
- QA engineer moving into AI
- ML engineer focused on production reliability
Required skills
Salary benchmarks (2026)
US market · ±30% · Base only. Europe runs 30–50% lower.
Growing rapidly as agentic systems reach production
Frequently asked questions
What does a AI Eval Engineer do?
Build and operate the continuous measurement layer that tells the organization whether its AI systems are getting better or worse in production.
What skills does a AI Eval Engineer need?
The core skills are: Statistical experiment design, Canary pipeline implementation (A/B on 1-2% traffic), Creator-verifier pattern (+12 to +26% correctness), OTel GenAI conventions (gen_ai.client stable, gen_ai.agent experimental).
What is the salary for a AI Eval Engineer in 2026?
In 2026, a AI Eval Engineer earns between $110K–$150K at entry level and $210K–$290K at senior level, with mid-level salaries around $150K–$210K. Growing rapidly as agentic systems reach production. US market figures, ±30%.