Hebrew Language Transcription Expert

Join our team as an Independent Contractor for Project Lupin. Project Lupin aims to help improve AI-powered speech recognition models In this project, participants contribute by checking and modifying the audio segmentation and transcription. The transcriptions generated will contribute to the development of improved AI-powered speech recognition models. Project Benefits Flexible hours - Work on your own schedule-Remote - Work from anywhere Fair pay globally - Always above minimum wage in your market Scalable earnings - The more you work, the more you earn Task Summary 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) Requirements 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 minimum 10+ hours per week. Please Note This project follows a first-come, first-served approach and operates with demographic quotas to ensure fair and balanced representation across all participant groups. As a result, some individuals may not receive a task assignment if their group has already been filled. Join us in shaping the future of voice AI. Your participation in Project Lupin will directly help improve how technology understands and responds to real human speech. #crowdgen #J-18808-Ljbffr