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Norwegian-Speaking Audio Transcription Expert
Job in
Dallas, Dallas County, Texas, 75201, USA
Listed on 2026-10-30
Listing for:
OpenTrain AI, Inc.
Part Time
position Listed on 2026-10-30
Job specializations:
-
Language/Bilingual
Data Annotation/ AI Labeling, English Speaking
Job Description & How to Apply Below
You will turn Norwegian audio and video into accurate written text for language technology projects. The work also includes reviewing transcripts, classifying speech segments, and making careful decisions when recordings are unclear.
- Transcribe Norwegian audio and video into accurate written text.
- Review and edit transcripts for grammar, spelling, punctuation, and accuracy.
- Annotate and classify speech segments using project guidelines.
- Flag unclear audio and add context notes or suggested interpretations.
- Work with coordinators and other language experts to clarify requirements.
- Share feedback that improves transcription guidelines and workflows.
- Handle confidential information securely and follow data privacy requirements.
This is a remote, part-time contractor role. The role is listed as entry level, but prior transcription or language-focused experience is required.
- Pay: $20 to $30 per hour.
- Work type:
Part-time contract work. - Language:
Fluent Norwegian with excellent grammar, spelling, and punctuation. - Location:
Open to candidates in the countries specified for this role. - Experience:
Transcription, linguistic annotation, or a related language-focused discipline. - Skills:
Strong attention to detail, precise judgment, and clear written and verbal communication. - You must be able to work consistently from a remote setting and respond constructively to feedback.
- Helpful background:
Experience with transcription tools, audio editing software, linguistic annotation platforms, or speech-data review.
AI training work uses examples prepared and reviewed by people to help artificial intelligence understand language, images, audio, and other data. Experienced language specialists are valuable because accurate transcription and careful judgment help produce reliable training data.
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