Thai Audio Transcription & Speaker Labeling Specialist

Lifted (Upwork); United States; A distancia; USD 17.000 - 28.000; A tiempo parcial

Descripción de la vacante

Lifted is seeking Thai audio segmentation and transcription experts to support an AI training initiative aimed at improving Thai speech recognition models. In this role you will produce precise, verbatim transcripts in Thai, capturing every utterance, including fillers and repetitions, with speaker labels for 2–8 participants and timestamps within 500 ms.

You will annotate non-speech events such as laughter or background noise, adhere to project instructions, and maintain steady productivity

Formación

• Native-level fluency in Thai, including familiarity with regional accents and informal speech.
• Strong listening comprehension and attention to detail.
• Ability to produce verbatim transcripts, including stutters, repetitions, and filler words.
• Experience in transcription, annotation, or linguistics is an advantage.
• Reliable internet connection and access to a computer; mobile devices are not supported.

Responsabilidades

• Listen to audio recordings and produce verbatim transcripts in Thai.
• Capture how it is said, including filler words and repetitions.
• Add speaker labels for multi-speaker recordings (2–8 participants).
• Insert timestamps for segments (within 500 ms accuracy).
• Annotate non-speech events such as laughter, background noise, or unclear audio.
• Follow detailed project instructions and maintain high quality standards.

Conocimientos

Thai fluency

Listening skills

Verbatim transcription

Attention to detail

Remote work readiness

Herramientas

Browser tools

Descripción del empleo

Lifted is seeking Thai audio segmentation and transcription experts to support an AI training initiative aimed at improving Thai speech recognition models. In this role you will produce precise, verbatim transcripts in Thai, capturing every utterance, including fillers and repetitions, with speaker labels for 2–8 participants and timestamps within 500 ms.

You will annotate non-speech events such as laughter or background noise, adhere to project instructions, and maintain steady productivity