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Language Specialist, Telugu [Contractor]

SoundHoundFull-time$110k - $270k*Bengaluru, IndiaOct 1, 2024
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SoundHound AI believes every person should be able to interact naturally with the products around them–by simply talking. With a global reach spanning two dozen languages, we build Voice AI products with conversational intelligence for cars, restaurant ordering, and more, allowing our customers to extend their brand in new and meaningful ways.

The Data Programs team validates language data and provides language, linguistic and phonetic input to our ASR and NLU engineering teams, directly working with them to train and test our speech models and NLU results.

We advocate for our customers and their end users to ensure a satisfying voice user experience, from the recognition of speech queries/commands, to the responses from our NLU systems.

The Language Specialist validates speech and text language data used to train our ASR models. Additionally, the Language Specialist carries out various tasks that require phonetics and phonology expertise in Telugu. The role establishes the phoneme set and pronunciation rules, which will be used for building the ASR models. The Language Specialist works closely with the Testing team to create valid test phrases for relevant domains. They also provide various sample phrases to help augment our domains' Language Models.

In this role, you will:

  • Assist in gathering and curating the speech and text data for our ASR team

  • Establish phoneme sets and pronunciation rules for the target language

  • Provide test case phrases for our domains

  • Provide artificial training data sets for the Language Models improves domain performance

  • Testing of our systems and analysis of the results.

We would love to hear from you if:

  • Completion of formal language studies, a language degree, or a degree in Linguistics (or equivalent experience)

  • Native-level proficiency in spoken and written Telugu

  • Familiarity with linguistics, phonetics, and phonology

  • Experience as a data evaluator and with training data for machine learning

  • Experience in data curation, data quality, or software QA

  • Experience in Bash, Python, or other programming languages

  • Background in project management/coordination

  • Proficiency with Google Docs, Jira, Confluence

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