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Perle is seeking UAE Arabic (Emirati) transcribers to convert native speaker audio into precise, time-aligned transcripts following a project-specific style guide.
You will decide on orthography for dialectal speech, handle code-switching with English, and mark disfluencies, speaker changes, and non-speech events. QA and calibration sessions are part of the process.
Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. Our partners include xAI, Samsung, ELM, and Unisys. Headquartered in San Francisco with experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.
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.