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Phonetician​/Linguist; Spanish

Job in San Antonio, Bexar County, Texas, 78253, USA
Listing for: Omilia - Conversational Intelligence
Full Time position
Listed on 2026-07-16
Job specializations:
  • Science
    AI Evaluation, Data Annotation/ AI Labeling
Job Description & How to Apply Below
Position: Phonetician / Linguist (Spanish-US)

Job Title

Ensure the linguistic and phonetic quality of Omilia's multilingual Text-to-Speech (TTS) systems by designing phoneme inventories, developing lexicons, and reviewing audio corpora to support enterprise-grade voice experiences.

Accountabilities

Autonomy:
Independently conduct phonological and phonetic analysis, design phoneme inventories, and develop lexicons for multiple languages.

Scope & Complexity:
Responsible for linguistic quality across all supported languages in TTS, including handling underrepresented phenomena and complex language-specific features.

Impact:
Directly influences the naturalness, accuracy, and quality of Omilia's TTS output, impacting customer experience in global contact center deployments.

Influence/Mentorship:
Collaborates with TTS engineers, data scientists, and ML researchers; coordinates with native-speaker reviewers and external annotation pipelines.

Key Responsibilities
  • Conduct systematic phonological and phonetic analysis of the American Spanish language.
  • Document language-specific features (prosody, stress, tone, coarticulation, dialect variation).
  • Produce structured language profiles for TTS model training and evaluation.
  • Define and maintain phoneme inventories; map to IPA and TTS-specific conventions.
  • Corpus audits and optimal audio references selections for TTS target voice tuning
  • Build and maintain pronunciation lexicons, including G2P rules and exceptions.
  • Review and correct machine-generated G2P outputs; conduct pronunciation audits.
  • Annotate audio corpora, develop evaluation protocols, and produce error analyses.
  • Define linguistic criteria for TTS corpus selection and design prompts for data collection.
  • Collaborate with TTS engineers to integrate linguistic artefacts into synthesis pipelines.
  • Contribute to internal documentation and participate in research discussions.
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