Danish Audio Segmentation & Transcription

Lifted (Upwork); United States; Remote; USD 21,000 - 39,000; Part time

Benefits offered by this job

Flexible schedule

Remote work

Job summary

Lifted is seeking Danish Audio Segmentation and Transcription specialists to support an AI training initiative. You will produce precise, verbatim transcripts of Danish recordings, including speaker labels and non-speech event annotations. This role emphasizes accuracy, timing precision, and consistency across multi-speaker dialogues.

Remote work is available with flexibility for 20+ hours per week; training and tools will be provided to ensure quality standards and timely delivery.

Qualifications

• Native-level fluency in Danish, including 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.
• Comfortable using browser-based tools and having a reliable internet connection.

Responsibilities

• Verbatim transcription with 98%+ accuracy target.
• Timestamping segments with less than 500ms deviation.
• Speaker labeling for conversations with 2–8 participants.
• Event annotation for non-speech elements (e.g., laughter, background noise).

Skills

Danish fluency

Active listening

Verbatim transcription

Transcription/Linguistics experience

Browser-based tools

Reliable internet

Computer access

20+ hours per week availability

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).
• 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 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.
• 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 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)