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 Tagalog 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
- 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 Tagalog 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
Qualification path
Language Requirements:
- Native-level Tagalog (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