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Perle is seeking expert Afrikaans transcribers to convert audio into precise, time-aligned transcripts following our style guide. This is not data entry; you will decide orthography, speaker attribution, code-switching, and handling of disfluencies and non-speech events.
Ideal candidates have native Afrikaans fluency, strong orthography, and at least two years of professional transcription or linguistic annotation experience. Join a flexible, per-task workflow with QA collaboration.
We are hiring expert Afrikaans 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.
Afrikaans, a West Germanic language derived from Dutch, spoken across South Africa and Namibia with regional varieties including Cape, Orange River, and Eastern Border Afrikaans. Project audio reflects everyday speech with code-switching to English common in urban areas.
Primary speaker regions: Cape Town, Johannesburg, Pretoria, Bloemfontein, Stellenbosch, Windhoek.
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.