Tech & AI Solutions
Prompt Evaluation & AI Output Review
Human linguistic review of AI-generated language output for quality, accuracy, and cultural appropriateness.
AI language systems generate text that often requires human evaluation before it can be trusted for external use. Evaluating AI output requires linguistic expertise, cultural awareness, and the ability to assess whether a response is not only grammatically correct but factually appropriate, contextually sensible, and culturally suitable for the intended audience.
AI Output Needs Human Linguistic Judgment
Automated metrics can assess some aspects of language quality, but they cannot reliably evaluate cultural appropriateness, factual consistency in a specific domain, or the subtle ways in which AI-generated text may fail to communicate what was intended. Human evaluation by linguists with relevant expertise is required for meaningful assessment.
We provide prompt evaluation and AI output review services for organizations developing, fine-tuning, or deploying AI language systems, contributing the linguistic and cultural expertise needed to assess outputs across Arabic and other languages.
What's Included
A complete approach to prompt evaluation & ai output review
Prompt Testing
Evaluation of prompts across a defined set of inputs to assess whether they consistently produce the intended output type, tone, and quality.
Response Evaluation
Structured assessment of AI-generated responses against defined quality criteria including relevance, accuracy, completeness, and appropriateness.
Language Quality Assessment
Evaluation of the linguistic quality of AI-generated text — fluency, naturalness, register, and grammatical accuracy in the target language.
Cultural Appropriateness Review
Assessment of whether AI-generated content is culturally appropriate for the intended audience and free from assumptions, references, or phrasing that would be unsuitable.
Factual Consistency Review
Review of AI-generated content for factual consistency within a defined domain, identifying claims that require verification or are inconsistent with established knowledge.
Human Feedback Collection
Structured collection of human feedback on AI outputs for use in model evaluation, fine-tuning, and reinforcement learning from human feedback processes.
Process
How it works
Evaluation Task Definition
We review the AI system, evaluation objectives, language pairs, quality criteria, and feedback format required for the evaluation task.
Evaluator Selection
Evaluators with relevant linguistic, cultural, and subject-matter expertise for the target language and content domain are selected.
Evaluation Execution
AI outputs are evaluated against the defined criteria with structured responses recorded in the agreed format.
Quality Review
Evaluation responses are reviewed for consistency and accuracy before being delivered or used in the AI development process.
Reporting and Delivery
Evaluation results are delivered in the format required for the AI development workflow, with summary reporting on key findings.
Why Randa Translation
What sets our approach apart
Expert Evaluators, Not Crowd Workers
Evaluators are selected based on linguistic expertise and subject-matter knowledge appropriate to the AI application and target language.
Arabic Language Capability
We have specific capability in evaluating Arabic-language AI outputs, including cultural appropriateness and dialectal considerations.
Structured Evaluation Criteria
Evaluation is conducted against explicitly defined criteria agreed in advance, producing consistent and interpretable feedback.
Suitable for RLHF and Fine-Tuning
Feedback can be collected in formats compatible with reinforcement learning from human feedback and fine-tuning workflows.
Related Industries
Evaluate AI Language Output with Human Expertise
Tell us about the AI system, target languages, evaluation objectives, and quality criteria. We will design the right evaluation framework and assign qualified evaluators.