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Perle is seeking expert Emirati Arabic transcribers to convert audio into precise transcripts. You will work at expert linguistic judgment levels, handling dialectal orthography, code-switching with English, and time-aligned transcripts for AI labs.
Native UAE exposure, strong Modern Standard Arabic, and a track record of accurate transcripts under deadlines are required. The role offers paid pilots, flexible scheduling, and collaboration with Perle’s linguistics team.
We are hiring expert UAE Arabic (Emirati) 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.
Emirati Arabic (Khaleeji), spoken across the seven emirates with distinctive Gulf vocabulary, phonology, and intonation. Project audio reflects authentic Emirati speech patterns including older generational forms, Bedouin influences, and code-switching with English and Modern Standard Arabic.
Primary speaker regions: Abu Dhabi, Dubai, Sharjah, Northern Emirates.
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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