Multilingual LLM-as-a-Judge Managed Service Overview

This document is a technical report detailing Appen's Multilingual LLM-as-a-Judge (LLMaaJ) managed service designed for evaluation at scale. The service allows clients to send evaluations to an Appen-hosted LLM Judge endpoint, which provides structured, rubric-based assessments rapidly. The report outlines three core pillars of the service: multilingual intelligence, locale-specific trusted sources, and an end-to-end managed service. It explains how the service addresses performance gaps in language models, particularly between high-resource and low-resource languages, through tailored prompt engineering and model selection. The document also describes the two-phase approach of the service, which includes a calibration phase using human-annotated samples and a production phase with ongoing quality assurance. The report emphasizes the integration of human review with automated evaluations to ensure accuracy and cultural sensitivity, particularly for time-sensitive content. Appen's extensive experience in multilingual data solutions is highlighted as a key advantage of the service.