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Vega audio data collection

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Clinical dermatology documentation specialist

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United States
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UHRS crowd labeling tasks contributor

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Adaptation

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Koala

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Board-certified clinical notes specialist

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Cosmos – voice assistance interaction segmentation

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Join our project to enhance conversational AI by analyzing voice assistant interactions. As a native speaker, you'll segment long-form audio recordings into distinct user exchanges. This remote role requires only a computer and helps improve voice recognition models.
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Bgn transcription

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Join our AI training project as a BGN Transcription Specialist. Transcribe everyday conversations from audio recordings, which may include background noise. This remote role requires native-level proficiency in one of our target languages. Your work will directly contribute to enhancing and train...
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Vega transcription

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Join the Vega transcription project as a native speaker to help train AI assistants. You will segment audio and create verbatim transcriptions, capturing speaker intent and code-switching in both Source and Target languages. This remote role requires 2-4 hours daily, working directly on the clien...
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Pegasus

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Join the Pegasus project as a Search Quality Rater. Evaluate and rate the satisfaction of search results based on user intent and specific metrics. We require native speakers based in target countries, with 4 hours of daily availability. Help improve the relevance and quality of search engine res...
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Onyx Annotation (Hebrew) – QA

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Join our AI project as a Hebrew-speaking QA Annotator. You will ensure the accuracy and quality of image-based text detection, boxing, and transcription tasks. This remote role requires a reliable internet connection. Contribute directly to improving cutting-edge AI technologies.
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Ava audio collection

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Join a project to enhance AI technologies by recording your voice. As a native speaker, you'll read 750 prepared sentences containing specific named entities. A quiet environment and suitable recording device are required. Contribute from home to advancements in speech recognition.
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