Podcast Transcription And Speech Annotator – Spanish (Spain)

Job description: We are hiring remote transcription and speech annotation specialists for a long-form audio project. In this role you will transcribe and annotate podcast recordings to help train and evaluate voice recognition models. If you have strong listening skills, excellent attention to detail, and transcription experience, we would love to hear from you. About the Project This project focuses on accurately segmenting and transcribing speech within long-form audio recordings. Your work directly supports the training and evaluation of voice recognition and speech-to-text models across a wide range of languages and locales. Purpose of the Project The goal of this project is to accurately segment and transcribe speech from long-form audio recordings to train and evaluate voice recognition models. Task Description In this role, you will analyze long-form podcast recordings of 30 to 60 minutes or more and perform high-quality transcription and speech annotation tasks following detailed project guidelines. Key Responsibilities Transcribe long-form podcast recordings accurately, following project guidelines. Identify different speakers and assign consistent speaker labels. Segment speech with accurate timestamps. Identify the perceived gender of speakers. Review audio quality and flag issues such as unclear or distorted speech, strong accents, incorrect language, and synthetic or generated audio. Verify and correct pre-annotated speech segments when required. Ensure all annotations and transcripts meet quality standards. What We Are Looking For Strong listening skills and excellent attention to detail. Previous experience with transcription or speech annotation. Native or near-native fluency in Spanish(Spain). Access to a computer and a stable internet connection. Why join us? Contribute your Spanish expertise from Spain to AI projects with real impact. Enjoy flexible and completely remote work. Develop valuable skills in AI training, language technologies, and data quality. Opportunity for ongoing collaboration and learning.