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Apple

Language Expert - Indonesian

Apple
TechnologySingaporeFull-time3 months ago
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About the role

AI summarised

Language Expert role at Apple, responsible for localizing software and Siri content into Indonesian. The role involves translation, bug monitoring, terminology management, and process improvements, requiring fluency in Indonesian and English, translation experience, and cross-cultural knowledge.

TechnologyFull-timeSoftware and Services

Key Responsibilities

  • Translation of Apple products into Indonesian.
  • Utilizing internal tools to identify changes with localization impact.
  • Bug monitoring, reporting and resolution.
  • Working with cross-functional groups to ensure the process runs smoothly and on schedule.
  • Ensuring terminology consistency across all Apple products and services for the Indonesian market.
  • Assisting with quick-turnaround translations.
  • Identifying tools and process enhancements.
  • Using unreleased software to check localization.
  • Maintaining style guides and language glossaries.

Requirements

  • Degree in Applied Linguistics, Translation, Culture & Literature and equivalent.
  • Native or accredited fluency in Indonesian to support the Indonesia-speaking market.
  • Fluent in English to do the translation from English to Indonesian and vice versa.
  • Experience with CAT tools and in translation of UI for high-end software products.
  • Excellent writing skills, partnership and interpersonal communication skills.
  • Large vocabulary, literacy, and cross-cultural knowledge.
  • Current and direct exposure to Indonesia culture over a sustained period of time.
  • Knowledgeable in and critical to multilingual and multicultural issues.
  • Experience in managing language specific style guides and glossaries.
  • Experience with localization and internationalization.
  • Excellent UX writing skills and experience.
  • Experience localizing Apple product content.
  • Excellent knowledge of structural aspects of the language (syntax, semantics, phonology, phonetics).
  • Experience in natural language processing and computational linguistics.
  • Experience with a programming language.
  • Localization project management experience.
  • QA experience.