Remote English Language Audio Model Trainer - AI Trainer ($20-$20 per hour)Mercor • Diamond Bar, California, US
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Remote English Language Audio Model Trainer - AI Trainer ($20-$20 per hour)
Mercor • Diamond Bar, California, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [filters.remote]
[job_card.job_description]About the Role : We are seeking detail-oriented and enthusiastic individuals to join a cutting-edge AI research initiative. In this role, you will be responsible for recording and evaluation short audio clips that describe visual content, helping to build and refine datasets for multimodal AI systems. Your voice will directly support the development of next-generation models capable of understanding and interacting with the world across both visual and auditory domains. Responsibilities : View a series of videos and evaluate which ones you prefer. - Record short audio clips (typically 2-3 minutes each) using provided tools or platforms. - Ensure recordings are high quality and free from background noise or distortion. - Follow specific linguistic, timing, or stylistic guidelines as outlined by the research team. - Collaborate with AI researchers and QA teams to review and iterate on data quality. Qualifications : Excellent verbal communication and enunciation skills. - Native or near-native fluency in English (other language fluencies are a plus). - Strong attention to detail and the ability to follow annotation guidelines precisely. - Prior experience with voice recording or data annotation is a plus, but not required. - Comfortable working independently and handling repetitive tasks with consistency. What You’ll Gain : An opportunity to contribute to foundational AI research at a world-leading lab. - Experience working at the intersection of language, audio, and computer vision. - Flexible, remote-friendly work structure. Pay : You will be paid $20 / hour Interview Process : You will take a 15 minute AI interview & complete a quick form outlining your availability - We aim to get back to all applicants within one week of submitting an application
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