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Perle

Expert Audio Transcriber, Danish

Posted 4 months ago
2-5 years experience
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AI Summary

Convert audio recordings of native Danish speakers into precise, time-aligned written transcripts for AI training. Apply expert linguistic judgment to handle orthography, code-switching, and non-speech events according to a specific style guide.

The Role
We are hiring expert Danish transcribers to convert audio recordings of native speakers into precise, conventionally formatted written transcripts. The work powers speech recognition, dialogue, and evaluation systems for major AI labs. Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic conditions.

You will be working at the level of expert linguistic judgment. This is not data entry. Decisions about orthography, code-switching, speaker attribution, disfluencies, and non-speech events shape the quality of every model trained on your output.


Dialect and Scope

Standard Danish (rigsdansk) and its regional spoken varieties. Project audio captures the distinctive Danish phonology including stod, soft d, and vowel mergers across conversational and formal registers.

Primary speaker regions: Copenhagen, Aarhus, Odense, Aalborg, Funen, Jutland.


What You Will Do

  • Transcribe audio recordings into accurate, time-aligned written text following Perle's project-specific style guide
  • Apply correct conventions for speaker identification, overlapping speech, disfluencies, fillers, false starts, and non-speech events such as laughter, background noise, and music
  • Make principled orthographic decisions for dialectal, colloquial, and code-switched speech
  • Flag ambiguous segments, uncertain speakers, and audio quality issues using project conventions
  • Self-review every submission against Perle's quality bar before delivery
  • Engage with QA reviewers on edge cases, calibration sessions, and style guide updates


Must Have

  • Native fluency in Danish with lifelong residence or deep immersion in Denmark
  • Strong ear for Danish phonological features and willingness to transcribe them consistently
  • Mastery of standard Danish orthography
  • Ability to distinguish major Danish regional accents
  • At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience
  • Demonstrated accuracy at the word level under deadline pressure
  • Comfortable with web-based annotation platforms and variable-speed audio playback
  • Reliable high-speed internet, quality headphones, and a quiet workspace
  • Ability to commit to defined volume per week during active project phases


Nice To Have

  • Background in Scandinavian linguistics, translation, journalism, or media
  • Prior experience annotating Danish or Scandinavian speech data
  • Working knowledge of Norwegian or Swedish for cross-lingual audio
  • Familiarity with IPA or other phonetic transcription systems
  • Experience with verbatim versus clean-verbatim transcription conventions


How We Work With You

  • Paid pilot task before full onboarding so both sides can calibrate
  • Per-task or per-minute compensation, with rates tied to audio complexity and turnaround
  • Flexible scheduling, with volume scaling up and down based on active client projects
  • Direct working relationship with Perle's linguistic leads and QA team
  • Eligible for invitation to additional Perle expert projects across related domains


How To Apply

Apply through Winnow, Perle's job portal at winnow.perle.ai. Find the role for your language under Open Jobs, set up your candidate profile, and complete the fully automated interview, which takes about 25 minutes. We review applications within 24 hours and invite passing candidates straight to the project.

Apply here: https://winnow.perle.ai/jobs/7deee62b-6aca-4395-a63f-a4c227126c95


Equal Opportunity

Perle hires experts on the basis of skill, language proficiency, and demonstrated quality. We welcome applicants from every background and every region where our target languages are spoken.



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