German Transcription for AI Speech Training

I'm seeking a skilled freelancer to support an AI training initiative aimed at improving German speech recognition models. In this role, you will produce precise, verbatim transcriptions and review audio recordings in German. Your contribution will directly help train and enhance next-generation AI speech technologies. Responsibilities - Listen to audio recordings and produce accurate, verbatim transcriptions in German. - 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. Requirements - Native-level fluency in German, 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). 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. Clear instructions and guidelines will be provided, and ongoing feedback may be given to ensure quality standards are met. 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) You will be asked to complete a calibration test which will determine whether you will proceed to production tasks. Transcription Payment - Payment Note: The project focuses on transcription. - The compensation rate is $60 per audio hour, based on expected productivity and quality standards. - Payment is tied to meeting quality benchmarks and maintaining consistent output. Please note that payment may not be provided for submitted work that does not meet requirements.

Project ID: 40388277