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Participants will accurately identify and label conversational events within recorded audio files. Each recording features a user interacting with a voice assistant. These interactions typically include an initial request, a response from the assistant, and sometimes follow-up questions. Participants will carefully listen to each recording and apply precise, time-stamped labels to identify who spoke and when according to detailed project guidelines. Accuracy and consistency are critical to the success of this work. Purpose: This project will help train and evaluate advanced speech recognition models.
Job Responsibility:
Accurately identify and label conversational events within recorded audio files
Carefully listen to each recording and apply precise, time-stamped labels to identify who spoke and when according to detailed project guidelines
Requirements:
Native-level fluency in one of the target languages, with strong listening comprehension and familiarity with regional speech patterns and accents
Ability to pass the OneForma Certification and KYC verification
Successfully pass practice tasks within the client’s annotation tool before production work begins
Excellent attention to detail and ability to follow structured linguistic and technical guidelines
Strong analytical and listening skills with the ability to distinguish multiple speakers
Access to a reliable computer and stable internet connection
Ability to work with audio that may include background noise or overlapping speech
Availability to complete assigned tasks within project timelines
Comfortable using web-based tools and applying time-stamped labels to audio events
Hardware: Microphone and headset are needed
Nice to have:
Previous experience in annotation, transcription, linguistics, or data labeling is a plus, but not required