Afrikaans Transcription Expert: Verbatim Audio to Text

Perle; United States; Remote; USD 35,000 - 60,000; Full time

Job summary

Perle is seeking expert Afrikaans transcribers to convert audio recordings of native speakers into precise, conventionally formatted transcripts. You’ll decide orthography, handle code-switching, and tag non-speech events to support high-quality AI model training.

This role emphasizes expert linguistic judgment over data entry, with paid pilots, per-task or per-minute compensation, and collaboration with linguistic leads and QA teams. Flexible scheduling is available for active projects.

Qualifications

• Native fluency in Afrikaans with lifelong residence or deep immersion in South Africa or Namibia.
• Mastery of standard Afrikaans orthography.
• Ability to distinguish Afrikaans from Dutch in mixed audio.
• Comfortable transcribing Afrikaans-English code-switching as it occurs naturally.
• 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.

Responsibilities

• 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.

Skills

Afrikaans fluency

Code-switching

Job description

Perle is seeking expert Afrikaans transcribers to convert audio recordings of native speakers into precise, conventionally formatted transcripts. You’ll decide orthography, handle code-switching, and tag non-speech events to support high-quality AI model training.

This role emphasizes expert linguistic judgment over data entry, with paid pilots, per-task or per-minute compensation, and collaboration with linguistic leads and QA teams. Flexible scheduling is available for active projects.