AI Voice Trainer & Data Annotator
As an AI Voice Trainer and Data Annotator at Synthesis AI Projects, I recorded diverse voice samples from curated prompts and scripts to aid in building speech synthesis models. I evaluated and provided detailed feedback on AI-generated voice outputs, focusing on naturalness, intonation, rhythm, and expressiveness. Additionally, I participated in RLHF workflows and annotated phonetic and prosodic features to improve TTS models. • Contributed to data labeling pipelines to annotate speech data for training. • Generated written feedback reports to highlight systematic errors in AI speech outputs. • Supported model alignment with human preferences through structured RLHF ranking and rating. • Played a key role in improving AI-generated voice technology for quality and realism.