Malaysian Malay Linguist Expert

Malaysian Malay Linguist Expert

As a Malaysian Malay Linguist Expert in our Global AI Community, you evaluate and validate speech AI systems from a linguistic perspective—ensuring machine-generated voices communicate with natural language flow and prosody, speech recognition captures intent with linguistic accuracy, and voice AI models are trained on linguistically sound datasets. Your work directly impacts millions of users' voice-based AI experiences by maintaining the highest standards of linguistic quality and cultural authenticity.

What You'll Do

Linguistic Analysis & Language Quality Assessment

Analyze AI-generated speech (TTS) for naturalness of language patterns, pronunciation accuracy, prosodic rhythm, intonation, and emotional register from a linguistic perspective

Identify transcription errors, phonological and morphological issues, and linguistic nuances in speech recognition (ASR) outputs

Conduct linguistic quality evaluation of speech output including assessment of grammar, semantics, pragmatics, and discourse coherence

Apply phonetic and phonological analysis to identify pronunciation variations, dialectal features, and language-specific patterns

Provide structured linguistic feedback for model improvement

Language Variation & Dialectological Analysis

Apply expertise in phonetics, phonology, morphology, and syntax to identify speech variations across Malaysian Malay dialects and accents

Analyze prosodic features including stress patterns, intonation contours, and rhythm across different speech varieties

Document regional and sociolinguistic variations in speech patterns to inform dataset diversity

Evaluate linguistic consistency and naturalness across different speaker profiles and contexts

Speech Dataset Validation & Annotation

Review voice recordings for linguistic clarity, consistency, and technical quality

Apply linguistic expertise to support creation and validation of high-quality speech datasets with attention to language structure and variation

Perform detailed linguistic annotation and labeling for dataset integrity (phonetic transcription, prosodic markup, morphological tagging where applicable)

Assess dataset diversity and representativeness from a linguistic perspective

Identify and document linguistic patterns that improve ASR and TTS model performance

Voice AI Project Support

Support TTS, ASR, voice similarity, voice generation, and conversational AI evaluation projects with linguistic expertise

Provide linguistic quality assurance for voice technology projects focused on naturalness and semantic/pragmatic accuracy

Document linguistic findings to inform model improvement and contribute to research insights

Assess how linguistic features impact user perception and model performance

Mandatory Qualifications

Education / Professional Background

One of the following:

Bachelor's degree in Linguistics, Phonetics, Phonology, Speech-Language Pathology, Computational Linguistics, Language Sciences, or related linguistic discipline

OR 2+ years professional experience in: linguistic analysis, speech science, language documentation, dialect research, computational linguistics, speech dataset creation, or voice AI linguistics projects

Linguistic & Technical Competency

Advanced knowledge of Malaysian Malay 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)

Ability to apply linguistic frameworks to evaluate speech quality and language naturalness

Assessment & Verification Requirements

Language Requirements:

Native-level Malaysian Malay (C1/C2+) – Required for accurate phonological, prosodic, and semantic analysis

Professional English (B1+) – Required for technical documentation and collaboration

Completion of subject-specific qualification assessment (linguistic analysis of speech samples)

Identity verification (IDV) process – Required as soon as possible after application completion

Preferred Qualifications

Experience with speech science or phonetic research

Familiarity with ASR or TTS technology from a linguistic perspective

Knowledge of acoustic analysis tools or spectrograms software

Experience in language resource creation or corpus linguistics

Background in sociolinguistics or dialectology

Published work or research in speech-related linguistics

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