Spanish Audio Transcriptionist (Spain Spanish) – AI Training

Spanish (Spain) Audio Transcriptionist (AI Training) About the Role What if your deep familiarity with Peninsular Spanish — its rhythms, expressions, and regional nuance — could directly shape how AI understands real human conversation? We're looking for detail-oriented transcriptionists with native-level command of Spain Spanish to produce precise, high-quality transcriptions of spoken Spanish audio, helping build the datasets that teach AI systems to truly listen. This role is open to native or near-native Peninsular Spanish speakers located in Mexico City. You'll tackle real-world audio featuring crosstalk, multiple speakers, background noise, and natural speech patterns — turning messy, authentic conversation into clean, structured text. No prior AI experience needed. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Listen to audio recordings in Peninsular Spanish and produce accurate, verbatim transcriptions following detailed style and formatting guidelines Handle challenging audio scenarios — including crosstalk, overlapping speakers, filled pauses (e.g., "eh", "mm"), background noise, and varying audio quality Accurately identify and differentiate between multiple speakers within a single recording Apply consistent formatting conventions for timestamps, speaker labels, non-verbal sounds, and unclear segments Flag audio segments that are unintelligible or ambiguous, following established protocols Maintain a high standard of accuracy, consistency, and attention to detail across all assignments Work independently and asynchronously — fully on your own schedule Who You Are Native or near-native speaker of Spain Spanish (Peninsular Spanish) — with an intuitive command of Castilian vocabulary, expressions, accents, and speech patterns Exceptional listening skills with an ear for subtlety — you catch what others miss Comfortable working with imperfect audio: background noise, fast speech, interruptions,