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AI Data Operations
أخصائي وسم البيانات باللغة العربية، اللهجة الخليجية
The large language models most people use every day are noticeably weaker in Gulf Arabic than in English. That gap exists because the training data does not exist yet. You would be part of the team building it. This is a remote contract role for native or near native speakers of Gulf Arabic. Work is flexible within an agreed delivery window, with a minimum of thirty hours weekly.
Remote UAERemoteContractAssociate
What you will do
- Annotate and label Arabic text, speech and multimodal data according to detailed project guidelines.
- Transcribe and verify Gulf dialect audio, including code-switched Arabic and English speech.
- Evaluate model outputs for linguistic accuracy, cultural appropriateness, register and factual correctness.
- Write and correct reference responses in Arabic where a task requires it.
- Flag guideline ambiguity rather than guessing, because a wrong guess repeated across a thousand items poisons a dataset.
- Maintain inter-annotator agreement above the programme threshold.
What you bring
- Arabic at C2, with native or near native command of a Gulf dialect.
- Emirati, Saudi, Kuwaiti, Qatari, Bahraini and Omani dialect speakers are all in scope.
- English at B1 or above, sufficient to work with English project guidelines.
- Genuine care about linguistic precision.
- Reliable internet and a computer.
- The discipline to maintain quality on item nine hundred as carefully as on item nine.
Nice to have
- A degree in linguistics, translation, literature, journalism or a related field.
- Prior annotation, transcription, translation or editorial experience.
- Knowledge of a second Arabic dialect.
- Familiarity with annotation platforms.
What we offer
- Fully remote and genuinely flexible hours.
- Hourly rate that increases with quality tier, so accuracy is rewarded rather than speed alone.
- Paid training on each project's guidelines.
- Work at the front edge of Arabic language AI.
- A strong track record of converting high performing annotators into reviewer, quality lead and project coordinator roles.
How the process works
Apply on this page. The first step takes under two minutes. Every application gets a response from our talent team.
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