The evaluation problems we handle now.
Rater-X focuses on high-judgment evaluation: work where automated metrics are not enough and the quality of the human decision matters. We provide specialised AI data annotation and human evaluation for generative AI, search systems and high-judgment content.
Four core evaluation services.
Each service is delivered as a managed engagement, with structured guidelines, prepared evaluators, calibration and quality assurance built in.
LLM response & instruction-following evaluation
Structured review of how well a model answers: relevance, accuracy, completeness, reasoning quality and instruction adherence.
Search relevance & search quality
Evaluation of how well results match intent: query understanding, ranking relevance, local-search quality and real user usefulness.
AI-generated content quality review
Review of generated content for accuracy, coherence, relevance, tone and guideline compliance, so what your model produces holds up.
Policy-sensitive & edge-case review
Structured review of ambiguous, sensitive and high-judgment outputs against your provided policies and criteria, where consistency matters most.
Case-by-case capabilities
Some evaluation work sits outside the four core services and is taken on when it fits a project. We scope these individually rather than promising them as a standing catalogue.
Every project starts with a defined paid pilot.
Before any decision to expand, a controlled first engagement tests the guidelines, evaluator readiness, quality process and reporting. You see how our evaluation approach performs on your use case, with real evidence, before making a larger commitment.
Outputs you can act on
Tell us what you need evaluated.
Share your evaluation challenge, and we will design a focused pilot to address it. We review every request and respond within two business days.