Spanish (Spain) Audio Transcript Editor — Castilian Specialists

Spanish (Spain) Audio Transcript Editor (AI Training) About the Role What if your native command of Castilian Spanish and sharp listening skills could directly shape how AI understands spoken language? We're looking for detail-oriented transcript editors — particularly those with strong familiarity with Spain's Spanish dialect — to review, correct, and refine audio transcripts that will train the next generation of AI speech systems. Based in Mexico City but fluent in Castilian Spanish? This is your opportunity. This is meticulous, rewarding work for people who notice what others miss — a misheard syllable, a dropped accent, a timestamp that's a fraction of a second off. This is a fully remote, flexible contract role. No prior AI experience needed — just native or near-native Castilian Spanish fluency, excellent listening skills, and a commitment to precision. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Listen to audio recordings in Castilian Spanish and compare them against existing transcripts, correcting errors at the word level Fix misheard words, misspellings, punctuation errors, and formatting inconsistencies Verify and adjust word-level timestamps to ensure precise alignment with the audio Apply detailed style and formatting guidelines consistently across all tasks Flag unclear audio, overlapping speech, or segments that require additional review Maintain high accuracy and quality standards across large volumes of transcript data Work independently and asynchronously — fully on your own schedule Who You Are Native or near-native Castilian Spanish speaker — deep familiarity with Spain's pronunciation, vocabulary, and regional nuances is essential Excellent listening skills with the ability to accurately distinguish words in varied audio conditions Highly detail-oriented with a methodical, patient approach to repetitive precision work Comfortable working with exact timing and word-level accuracy