Danish Audio Segmentation & Transcription

Lifted, an Upwork Company™; København; Remote; DKK 185,000 - 370,000; Full time

Job summary

Lifted, an Upwork Company™, seeks Danish Audio Segmentation and Transcription experts to support an AI training initiative aimed at improving Danish speech recognition models. You will produce verbatim transcripts and review audio recordings in Danish, ensuring precise timestamps and accurate speaker labeling.

Responsibilities include capturing how speech sounds, including fillers and false starts, annotating non-speech elements, and following detailed project instructions with a focus on

Qualifications

• Native-level fluency in Danish with regional accents.
• Strong listening skills and attention to detail.
• Ability to transcribe verbatim including fillers and stutters.
• Experience in transcription or linguistics is a plus.
• Reliable internet and a compatible computer.

Responsibilities

• Listen to audio recordings and produce accurate, verbatim transcriptions in Danish.
• Capture not only what is said, but how it is said (including filler words, repetitions, and false starts).
• Insert precise timestamps for text segments (within 500ms accuracy).
• Annotate non-speech events such as laughter, background noise, or unclear audio.
• Follow project instructions and maintain high quality standards.
• Maintain steady productivity and reliability throughout the project.

Skills

Verbatim transcription

Timestamping accuracy

Speaker labeling

Event annotation

Danish fluency

Job description

• Contract

Company Description

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

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

Job Description

• Listen to audio recordings and produce accurate, verbatim transcriptions in Danish
• Capture not only what is said, but how it is said (including filler words, repetitions, and false starts).
• 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 Danishincluding 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.
• 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.

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