Project Echo
The project focused on improving the performance of AI speech recognition models in Italian by producing high-quality, human-validated audio-to-text training data for supervised learning and RLHF pipelines. The work involved listening to Italian audio clips and editing model-generated transcripts to ensure exact alignment with spoken content, with emphasis on semantic accuracy, linguistic correctness, and meaning preservation. Tasks included correcting transcription errors, applying proper punctuation, transcribing filler words and disfluencies, marking overlapping speech when present, and flagging clips in incorrect or unrecognized languages according to strict guidelines. The project operated at scale across more than 30 languages, with the Italian-language component running continuously for approximately four months and still ongoing.