Data Intern
Speech
Updated on 9/23/2025

ByteDance
No salary listed
San Jose, CA, USA
In Person
The Data-Speech department is dedicated to the research and development of core AI technologies and product innovation related to speech, audio, and music. The department supports the entire content pipeline - from production and editing to consumption - empowering content creation and interaction. Operating as a central platform, the team provides cutting-edge technological capabilities and solutions to multiple business units across the company.
Responsibilities:
1. Provide in-depth analysis and language-specific knowledge to ensure high-quality, linguistically informed speech model outputs in the target language.
2. Work closely with cross-functional teams to research local market trends and voice preferences to deliver localization solutions and enhance language adaptation of several global products.
3. Assist in the management of speech and annotation data, to ensure compliance with existing standards. Provide detailed feedback on speech model performance, contributing to iterative model improvements.
Minimum Qualifications:
1. Currently enrolled in an undergraduate or graduate program in Linguistics, Language Studies, Computational Linguistics, or a related discipline.
2. Native proficiency in English and one of the following languages: Indonesian and Korean. Native-level fluency in these languages will be essential for monitoring the quality of language data, evaluating speech model outputs, and researching cultural trends in these corresponding regions.
3. Ability to provide clear, objective, and structured descriptions of linguistic features of the target language, without relying on native intuition.
4. Strong phonetic perception, including the ability to distinguish phonemic contrasts and fine-grained errors in pronunciation, prosody, intonation and pitch.
Preferred Qualifications:
1. Relevant experience in TTS or LLM.
2. Experience in programming, including but not limited to C, C++, Java and Python.
3. Familiarity with local popular culture associated with the target language.

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