Perle-posted 3 days ago
1-10 employees

We are seeking a highly skilled and detail-oriented Arabic - Gulf Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.

  • Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Arabic - Gulf for linguistic quality, accuracy, clarity, and cultural appropriateness.
  • Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing.
  • Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards.
  • Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance.
  • Native Speaker & Residency: Must be a native-level fluency speaker of Arabic and currently residing in Arizona.
  • Education: Bachelor's Degree (minimum) from an accredited institution.
  • Linguistic Background (Preferred): A degree in Linguistics, Arabic - Gulf Language Studies, Translation, or a related field is highly preferred.
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