AI evaluation measures a model or system against defined tasks and risks. It includes dataset design, scoring, error analysis and checks on evaluation validity. Agent and retrieval systems need system-level evaluation because a model-only score does not establish workflow reliability.
400 live roles54 hiring companies38% remote-friendly
Vacancy evidence map
Where AI Evaluation carries hiring weight
Each segment represents roles where AI Evaluation was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.
9 Core167 Required106 Supporting118 Optional
176core + required44% of mentions
7.4roles per company54 employers
Market interpretation
What AI Evaluation demand means in practice
AI evaluation measures a model or system against defined tasks and risks. It includes dataset design, scoring, error analysis and checks on evaluation validity. Agent and retrieval systems need system-level evaluation because a model-only score does not establish workflow reliability.
Define the task, baseline, test population and scoring procedure. Explain data leakage, judge limitations and cases that a headline average hides. Review traces when tools are involved, and separate capability measurements from safety or deployment decisions. Show how a discovered failure changed the evaluation or the product.
AI evaluation measures a model or system against defined tasks and risks. It includes dataset design, scoring, error analysis and checks on evaluation validity. Agent and retrieval systems need system-level evaluation because a model-only score does not establish workflow reliability.
What evidence should I provide for a AI Evaluation role?
Define the task, baseline, test population and scoring procedure. Explain data leakage, judge limitations and cases that a headline average hides. Review traces when tools are involved, and separate capability measurements from safety or deployment decisions. Show how a discovered failure changed the evaluation or the product.
How AI Evaluation appears in job requirements
Inferred from the title and requirement wording in 400 active roles; each role is counted once. Read the methodology.
Posting evidence, not a company-wide stack claim
Main / core
2%(9)
Required
42%(167)
Supporting / context
27%(106)
Nice-to-have
30%(118)
Skills mentioned with AI Evaluation
A shared posting does not always require both skills. Explicit alternatives are counted separately.