Freelancer — Data Annotation & AI Automation
Evaluated and reviewed AI-generated responses for accuracy, clarity, and relevance against provided guidelines. Applied rubrics-based evaluation frameworks to rate and consistently assess AI output quality. Compared multiple AI outputs to identify the most accurate response for the task requirements. • Accuracy and relevance checking using rubric criteria • Clarity assessment for readability and coherence • Cross-comparison of alternative model responses • Strict adherence to remote annotation guidelines