AI Trainer & Data Annotation Specialist (Freelance) | Dataannotation.com / Outlier.ai (Audio/TTS assessment)
Performed voice and TTS quality evaluation by assessing audio samples for perceptual speech qualities. Applied consistent rating criteria to support refinement of speech AI model outputs across project cycles. Ensured labeled outputs reflected pacing, intonation, naturalness, and accent quality. • Assessed 200+ voice/TTS audio samples per cycle for pacing, intonation, and naturalness. • Evaluated accent quality to improve speech AI rendition accuracy. • Maintained reliable throughput with low revision-request rate (<5%). • Supported iterative model improvement through cycle-based audio labeling.