Kawaii - Audio Annotation and Speaker Identification
We’re looking for native speakers to help train advanced speech recognition models by labeling conversational interactions. You’ll listen to audio recordings and apply precise, time-stamped labels to identify speakers and mark key moments in human-AI conversations. This is a great opportunity to contribute to cutting-edge AI development while working on your own schedule from anywhere.
Purpose:
The goal is to accurately identify and label conversational events within recorded audio files to help train and evaluate advanced speech recognition models. Each recording features a User interacting with Siri (or another voice assistant). Your precise labels will help the model learn to recognize and understand natural speech patterns, regional accents, and assistant responses.
Main Requirements:
- Native-level fluency in one of our target languages: Arabic, Chinese, Danish, Dutch, Finnish, French, German, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Malay, Norwegian, Polish, Portuguese, Swedish, Thai, Turkish, or Vietnamese
- Based in the target countries
- Strong listening comprehension and familiarity with regional speech patterns and accents
- Ability to pass OneForma Certification and KYC verification
- Excellent attention to detail and ability to follow structured linguistic guidelines
- Ability to distinguish multiple speakers and track conversational flow
- Access to a reliable computer, stable internet connection, and an iPhone
- Comfortable working with web-based annotation tools
- Previous experience in annotation, transcription, or data labeling is a plus
Vacancy posted more than 2 months ago
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