AI Trainer — Data Labeler (AI data labeling, RLHF, annotation, QA)
Performed data labeling and annotation oriented toward AI training workflows, supporting model improvement using human feedback principles. Applied RLHF concepts and quality assurance practices to ensure labeled data and feedback were consistent and useful for training. Combined prompt + response writing approaches to guide evaluation and annotation outcomes. • Data annotation for AI training/evaluation • Applying RLHF (human feedback) methodology • Ensuring labeled/feedback consistency and quality • Supporting AI response improvement through curated feedback