Data Analyst (Japanese)
We are looking for a Senior Data Analyst with language expertise in Japanese (Native/Fluent) to join our team and work on exciting projects.
Essential functions
- Guideline & Policy Development: Partner with other teams to draft, adapt, and refine market-specific safety guidelines, and policy definitions for the target locale.
- Linguistic & Cultural Contextualization: Translate abstract safety policies into actionable local standards, providing clear definitions and localized examples of edge cases, regional slang, euphemisms, and indirect harmful intent.
- Exemplar Dataset Creation: Develop and validate high-quality, culturally authentic ground-truth (exemplar) datasets to calibrate autograders and guide third-party annotation teams.
- Prompt & Evaluation Adaptation: Adapt English safety prompts and test sets into culturally natural, dialectally accurate language rather than literal translations.
- Model Failure Analysis: Investigate safety-related model failures, diagnosing whether errors stem from regional dialectal quirks, coded language, or cultural misunderstandings, and update guidelines accordingly.
- Regional Safety Advisory: Act as the subject matter expert on local sensitive topics, emerging internet culture, social context, and regulatory or cultural taboos for the target region.
Qualifications
Native-level fluency with deep, current cultural immersion and living experience in the target market (Japanese - Japan).
Demonstrated experience developing, adapting, or refining content policies and safety guidelines in the target language/market.
Experience applying or working with harm and risk taxonomies, classification frameworks, or core safety policy principles.
Proven ability to analyze nuanced language: identifying market-specific slang, regional idioms, double entendres, veiled speech, and cultural sensitivities.
Professional background in Linguistics, Translation/Localization, Trust & Safety, Content Moderation, or AI Policy Evaluation.
Experience evaluating sensitive, policy-violating, or Responsible AI content.
Experience working with LLM evaluation, prompt assessment, or data labeling workflows.
Bachelor’s degree in Data Science, Computer Science, Data Analytics or a related field
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
