AI Annotation & Evaluation Specialist
Segmented long-form voice assistant interactions into structured exchanges. Labeled speaker turns and transcribed user speech with high accuracy. Reviewed AI-generated outputs for contextual and linguistic correctness. • Evaluated machine translations and classification consistency • Flagged ambiguity, bias risks, and intent misinterpretations • Maintained quality performance under continuous QA monitoring • Followed structured taxonomies and quality benchmarks.