Galician Audio Transcriber for Precise AI Data

perle

Spain (TX)

Remote

EUR 1,653,000 - 3,444,000

Full time

14 days+
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Job summary

Perle seeks expert Galician transcribers to convert audio recordings into precise, time-aligned transcripts following a project style guide. You will handle speaker IDs, disfluencies, and non-speech events with careful orthographic choices in dialectal, code-switching speech.

Applicants should demonstrate at least two years of professional transcription experience, high accuracy under deadline, and comfort with web-based annotation platforms.

Qualifications

  • Native fluency in Galician with lifelong residence or deep immersion in Galicia.
  • Two+ years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience.
  • Ability to distinguish Galician from Portuguese and Spanish in mixed audio.
  • Comfort with Galician-Spanish code-switching as it occurs naturally.

Responsibilities

  • Transcribe audio recordings into accurate, time-aligned written text following Perle's project-specific style guide.
  • Apply conventions for speaker identification, overlapping speech, disfluencies, fillers, and non-speech events.
  • Make principled orthographic decisions for dialectal, colloquial, and code-switched speech.
  • Flag ambiguous segments, uncertain speakers, and audio quality issues; self-review before delivery.
  • Engage with QA reviewers on edge cases and style guide updates.

Skills

Galician language
Transcription expertise
Code-switching understanding
Attention to detail

Tools

Web-based annotation platforms

Job description

Perle seeks expert Galician transcribers to convert audio recordings into precise, time-aligned transcripts following a project style guide. You will handle speaker IDs, disfluencies, and non-speech events with careful orthographic choices in dialectal, code-switching speech.

Applicants should demonstrate at least two years of professional transcription experience, high accuracy under deadline, and comfort with web-based annotation platforms.

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