Korean Audio Segmentation & Transcription

Lifted (Upwork); United States; Remote; USD 17,000 - 34,000; Full time

Job summary

Lifted is seeking contributors for Korean audio transcription tasks. You will listen to real audio, transcribe verbatim in Korean, and assign speaker labels for multi-person recordings.

Timed transcripts and annotations of non-speech events are required to meet project standards. Applicants should have native Korean fluency, strong listening skills, and the ability to produce exact transcripts that include fillers and stutters.

Qualifications

• Native-level fluency in Korean with familiarity of 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.
• Reliable internet connection and a laptop/desktop (mobile devices not supported).

Responsibilities

• Listen to audio recordings and produce precise, verbatim transcripts in Korean.
• Apply speaker labels for conversations with 2–8 participants.
• Insert timestamps for each text segment with accuracy within 500 ms.
• Annotate non-speech events such as laughter or background noise.
• Follow project instructions and maintain high-quality standards.

Skills

Korean fluency

Verbatim transcription

Attention to detail

Time-stamping

Speaker labeling

Browser-based tools

Internet reliability

Laptop required

Availability 20+ hours/week

Education

Transcription experience

Tools

Browser-based tools

Job description

• Listen to audio recordings and produce accurate, verbatim transcriptions in Korean
• 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.

Qualifications

• Native-level fluency in Koreanincluding 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.

Additional information

• 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.

About Lifted

Our enterprise client, a leading provider of high-quality, diverse datasets for AI model development is looking for a Korean Audio Segmentation and Transcription experts to support an AI training initiative aimed at improving Korean speech recognition models.

In this role, you will produce precise, verbatim transcriptions and review audio recordings in Korean. 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)