As a Tagalog 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.
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
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 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
Assessment & Verification Requirements
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
