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Lifted is seeking Hungarian audio transcription experts to support an AI training initiative. You will produce precise, verbatim transcripts, capturing not just content but also manner of speech, including fillers and hesitations.
Speaker labeling for conversations with 2–8 participants and timestamps with <500ms accuracy are required. You will annotate non-speech events such as laughter or background noise and adhere to tight project deadlines.
Our enterprise client, a leading provider of high-quality, diverse datasets for AI model development is looking for a Hungarian Audio Segmentation and Transcription experts to support an AI training initiative aimed at improving Hungarian speech recognition models.
In this role, you will produce precise, verbatim transcriptions and review audio recordings in Hungarian 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: