Spanish Audiobook Reviewer - AI Trainer

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Audiobook QA Expert — Spanish (US) Type: Contract Compensation: $15–$20/hour Location: Remote Commitment: 20 hours/week Role Responsibilities Listen to AI-narrated audiobooks in Spanish and assess narration quality for naturalness, accuracy, and enjoyment. Spot and log errors in synthesized speech, including skipped, added, or mispronounced words, incorrect numbers, and unnatural phrasing or intonation. Categorize issues and mark the exact span where they occur using our review tooling. Report on overall listener satisfaction and identify where narration feels natural versus where it disrupts the experience. Work consistently and carefully across many hours of audio without losing attention to detail. Qualifications Must-Have Native or near-native fluency in Spanish (US / North American Spanish). Regular audiobook listener with opinions on what makes a good listen. Working English proficiency for clear reporting and team communication. Experience with annotation, labeling, transcription, proofreading, linguistics, or similar detail-oriented review work. Reliable availability of about 20 hours per week on a part-time basis. Preferred Experience with AI training-data , model-evaluation, or audio/QA annotation projects. Background in language, editing, voice, or audio production. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor