Italian Audio Transcriptionist (AI Training) — Remote

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<strong>Italian Audio Transcriptionist (AI Training)<br><br></strong><strong>About The Role<br><br></strong>What if your ability to catch every word, pause, and nuance in spoken Italian could directly shape how AI understands one of the world's most beautiful languages? We're looking for detail-oriented Italian transcriptionists — including New York's vibrant Italian-speaking and Italian-heritage community — to produce accurate, high-quality transcriptions of spoken audio, helping train the next generation of AI speech and language systems.<br><br>This is real, meaningful work that requires genuine listening skill. You'll encounter natural conversation with all its messiness — crosstalk, background noise, filled pauses, multiple speakers, and rapid-fire dialogue. If you can hear through the chaos and put it on the page with precision, this role is for you.<br><br>This is a fully remote, flexible contract role. No AI background needed — just native-level Italian, excellent listening skills, and the discipline to follow detailed style and formatting guidelines.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Listen to audio recordings in Italian — including conversations, interviews, meetings, and other real-world speech — and produce precise, verbatim transcriptions</li><li>Accurately capture crosstalk, overlapping speakers, filled pauses (e.g., "ehm", "cioè"), false starts, and other natural speech phenomena</li><li>Identify and distinguish between multiple speakers throughout recordings</li><li>Handle challenging audio conditions including background noise, low-quality recordings, and varying accents or dialects</li><li>Follow detailed transcription style guides and formatting conventions with strict consistency</li><li>Apply timestamps, speaker labels, and annotation tags as required by project guidelines</li><li>Flag unclear or inaudible segments following established protocols</li><li>Complete task-based assignments independently on your own schedule<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Native or near-native fluency in Italian — you understand spoken Italian across registers, speeds, and regional variations</li><li>Exceptional listening skills with a genuine ear for nuance and detail</li><li>Comfortable transcribing messy, real-world audio — not just clean studio recordings</li><li>Highly detail-oriented with a consistent, methodical approach to your work</li><li>Able to follow complex style and formatting guidelines precisely and apply them reliably across large volumes of work</li><li>Strong written Italian skills with excellent spelling, grammar, and punctuation</li><li>Self-motivated and reliable when working independently</li><li>Comfortable using web-based tools and platforms<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Prior experience as a transcriptionist, court reporter, or stenographer</li><li>Background in subtitle creation, closed-captioning, or post-production editing</li><li>Experience with linguistics, phonetics, or language documentation</li><li>Familiarity with annotation or data labeling platforms</li><li>Knowledge of Italian regional dialects and informal registers</li><li>Background in translation, localization, or language services</li><li>Experience working with detailed style guides in any professional context<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects alongside leading research labs</li><li>Fully remote and flexible — work when and where it suits you</li><li>Freelance autonomy with the structure of meaningful, task-based work</li><li>Contribute to AI development that directly shapes how technology understands spoken Italian</li><li>Put specialized listening and language skills to work on projects that genuinely matter</li><li>Potential for ongoing work and contract extension as new projects launch</li></ul>

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