Arabic Linguistic Expert for Voice AI Quality & Dialects

AI Trainer Jobs; United States; Remote; USD 65,000 - 105,000; Full time

Job summary

AI Trainer Jobs seeks an Arabic Linguist to join our Global AI Community. You will evaluate and validate speech AI systems from a linguistic perspective, ensuring natural flow and dialectal accuracy across TTS and ASR outputs.

You will analyze pronunciation, grammar, semantics, and discourse coherence, annotate datasets, and provide structured feedback to improve model performance for diverse Arabic dialects and contexts.

Qualifications

• Advanced knowledge of Arabic phonetics, phonology, morphology, and syntax.
• Working knowledge of phonetic transcription, spectrogram analysis, prosodic analysis, acoustic phonetics, and language quality assessment.
• Familiarity with linguistic annotation tools and practices (IPA notation, SAMPA, or similar systems).

Responsibilities

• Analyze AI-generated speech for naturalness, pronunciation accuracy, prosodic rhythm, intonation, and emotional register.
• Identify transcription errors, phonological and morphological issues in ASR outputs.
• Assess grammar, semantics, pragmatics, and discourse coherence in speech outputs.
• Apply phonetic/phonological analysis to identify dialect features and pronunciation variations.
• Provide structured linguistic feedback to improve model performance.
• Review voice recordings for linguistic clarity and technical quality.
• Annotate datasets with phonetic transcription and prosodic markup.
• Document linguistic findings to inform model improvements.

Skills

Arabic linguistics

Phonetics

Phonology

Morphology

Syntax

Phonetic transcription

Prosodic analysis

Language quality assessment

Linguistic annotation tools

Education

Bachelor's degree in Linguistics or related discipline

2+ years experience in linguistic analysis or voice AI linguistics projects

Tools

IPA notation

SAMPA

Job description

AI Trainer Jobs seeks an Arabic Linguist to join our Global AI Community. You will evaluate and validate speech AI systems from a linguistic perspective, ensuring natural flow and dialectal accuracy across TTS and ASR outputs.

You will analyze pronunciation, grammar, semantics, and discourse coherence, annotate datasets, and provide structured feedback to improve model performance for diverse Arabic dialects and contexts.