Italian Audiobook QA Expert (Remote, Italy)

What You'll Do5

• Listen to AI-narrated Italian audiobooks and rate how natural, accurate, and enjoyable each narration sounds.
• Log speech errors such as skipped, added, or mispronounced words, numbers read wrong, abbreviations expanded in error, odd phrasing or intonation, and audio glitches or artifacts.
• Assign a category to each issue and mark the exact span where it occurs inside the review tool.
• Report overall listener satisfaction and point out where the narration feels natural versus where it breaks the listening experience.
• Stay alert across many hours of audio and maintain detail from start to finish.

Requirements8

• Native or near-native fluency in Italian (Italy).
• An active audiobook listener who can share real opinions about what makes a good listen.
• Working English strong enough to write reports and speak with the team.
• Background in annotation, labeling, transcription, proofreading, linguistics, or another review task that demands focus.
• A sharp, patient ear and the discipline to stay accurate across long listening sessions.
• Availability of about 20 hours each week on a part-time basis.
• Nice to have: prior work on AI training data, model evaluation, or audio and QA annotation projects.
• Nice to have: a background in language, editing, voice, or audio production.

Who Should Apply

The ideal candidate speaks Italian (Italy) as a first language, listens to audiobooks for pleasure, and can explain what makes a narration work. You also bring some background in annotation, labeling, transcription, proofreading, or linguistics, plus enough English to write clear reports. This role is less suitable for someone who wants full-time hours, cannot commit about 20 hours each week, or has no interest in audio detail. Applications often lose points when the candidate lists no review or annotation experience, or when their Italian fluency is not tied to Italy. Another common miss: treating the task as simple listening rather than structured error logging with exact timestamps and categories.

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