AI Data Annotator & Quality Reviewer
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ClassificationAs an AI Data Annotator & Quality Reviewer at Outlier, I label, categorize, and review large volumes of text data for machine learning development. My work spans sentiment analysis, intent classification, topic tagging, named entity recognition, RLHF response rating, and content moderation. I deliver annotated batches within strict deadlines while maintaining over 95% accuracy rates, supporting multiple concurrent projects. • Audit labeled datasets for errors and contribute written feedback to improve guidelines. • Score and rank AI-generated responses for RLHF pipelines, assessing fluency, helpfulness, and tone. • Develop annotation SOPs and documentation, streamlining team onboarding and output consistency. • Quickly adapt to new annotation schemas and label taxonomies across diverse NLP projects.