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Lilt

AI-powered multilingual translation platform for enterprises

In-Game Localization Specialists - Japanese

Translation & InterpretationConfirmed live in the last 24 hours
ContractTokyo, JapanNo salary listedRemote

About the Job

Requirements

  • Native-level fluency in the target language.
  • Meet one of the ISO 17100 qualification criteria: a graduate qualification in translation, linguistics, or language studies; a graduate qualification in another field plus 2 years of full-time professional translation experience; or 5 years of full-time professional translation experience.
  • At least 3 years of demonstrable experience localizing game video content.
  • In-depth practical understanding of translating UI content and menus, mission text, non-player character ambient dialogue, and locked cutscene subtitle blocks.
  • Transcreation experience in the gaming sector, specifically translating NBA-related content for video games.
  • Familiarity with game engines and localization pipelines.
  • Once accepting a task, provide reliable availability and on-time delivery; most tasks require at least 2 hours per day or 10 hours per week.

Responsibilities

  • Localize in-game text, UI, dialogue, subtitles, and narrative content for target languages while maintaining tone, style, and context.
  • Adapt content for cultural relevance and sensitivity for regional audiences.
  • Review and edit localized content for accuracy, consistency, and quality.
  • Support maintenance of glossaries, style guides, and terminology databases.
  • Work with localization QA teams to identify and resolve linguistic bugs in-game.
  • Provide feedback on localization pipelines and suggest efficiency and quality improvements.
  • Coordinate with language teams.

Desired Qualifications

  • Knowledge of scripting formats such as XML and JSON.
  • Interest in video games, especially sports, action, or narrative-driven titles.

About the Company

Lilt

AI-powered multilingual translation platform for enterprises

Lilt provides an AI-powered translation platform for enterprises to manage multilingual content. It uses a Contextual AI Engine with a human-in-the-loop: AI translations are reviewed by professional linguists, and feedback helps the model improve. It supports 70+ languages and formats and integrates with 100+ enterprise systems, sold as a subscription SaaS (plus direct translation services). Its goal is to speed up high-volume translation while ensuring accuracy and consistency across global content.

Company size
501-1,000
Company stage
Series C
Total funding
$95.6M
Headquarters
San Francisco, CA
Founded
2015

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