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Listen to audio recordings and produce accurate, verbatim transcriptions in Hebrew. Capture not only what is said, but how it is said (including filler words, repetitions, and false starts). Add speaker labels for multi-speaker recordings (2–8 participants). Insert precise timestamps for text segments (within 500ms accuracy). Annotate non-speech events such as laughter, background noise, or unclear audio. Follow detailed project instructions and maintain high quality standards. Maintain steady productivity and reliability throughout the project. Native-level fluency in Hebrew, including familiarity with regional accents and informal speech. Strong listening comprehension and attention to detail. Ability to produce verbatim transcriptions, including stutters, repetitions, and filler words. Experience in transcription, annotation, or linguistics is an advantage. Comfortable using browser-based tools (training will be provided). Reliable internet connection. Access to a laptop or desktop computer (mobile devices are not supported). Reliable availability for 20+ hours per week. Work anytime, provided you meet project deadlines and quality standards. Tasks and overall workload may shift based on project needs. Consistent availability and productivity are required throughout the assignment. Payment will be based on your completed output. Our enterprise client, a leading provider of high-quality, diverse datasets for AI model development is looking for a Hebrew Audio Segmentation and Transcription experts to support an AI training initiative aimed at improving Hebrew speech recognition models. In this role, you will produce precise, verbatim transcriptions and review audio recordings in Hebrew. Your contributions will directly help train and enhance next-generation AI speech technologies. Work Assignment: This project focuses on transcription tasks involving both single-speaker and multi-speaker audio recordings. Tasks may vary in complexity depending on audio quality and number of speakers. Task Summary (What to Expect) You will listen to real audio recordings and produce precise, verbatim transcripts — capturing not just what was said, but how it was said. That means every “uh,” every repeated word, and every trailing sentence matters. Your work will include: Verbatim transcription with a target of 98%+ accuracy Timestamping segments with less than 500ms deviation Speaker labeling for conversations with 2 to 8 participants Event annotation for non-speech elements (e.g., laughter, background noise, unintelligible audio) Originally posted on Himalayas