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Posted 14 June, 2026

Language Specialist- Japanese

Innodata Inc.
Hyderabad, TG, IN Full Time
Reference: cee5f1ea99bdb102

Job Description

Job Title: Japanese Language Specialist – AI & LLM Training (Freelance/Remote)

Location: India (Remote)

About the Role:

Are you passionate about language, technology, and the future of Artificial Intelligence? We are looking for highly skilled Japanese Language Specialists to support the development and enhancement of next-generation AI systems and Large Language Models (LLMs).

In this role, you will work closely with cutting-edge AI technologies by evaluating AI-generated content, improving linguistic accuracy, and helping shape culturally relevant and human-like interactions for global users. This is an exciting opportunity to contribute to innovative AI projects used by leading technology companies worldwide.

Key Responsibilities:

  • Evaluate and review AI-generated prompts, responses, and conversations in Japanese and English.
  • Assess content for grammar, fluency, factual accuracy, tone, and contextual relevance.
  • Provide detailed feedback and quality ratings to improve AI model performance.
  • Create, edit, and refine high-quality linguistic datasets for AI training purposes.
  • Identify linguistic errors, cultural inconsistencies, and biases in AI outputs.
  • Collaborate with global AI teams, linguists, and researchers on language-focused projects.
  • Follow annotation and evaluation guidelines while contributing process improvement ideas.
  • Ensure natural, professional, and culturally appropriate language usage across all tasks.

Required Qualifications:

  • Native-level or near-native fluency in Japanese with strong proficiency in reading, writing, and speaking.
  • Good command of English for communication and evaluation tasks.
  • Candidate must possess advanced or highest-level Japanese language certification (JLPT N1 or equivalent professional certification).
  • Willingness to complete Japanese and English language assessments during the hiring process.
  • Candidates should be capable of achieving professional-level scores in assessments.
  • Strong attention to detail with excellent analytical and comprehension skills.
  • Prior experience in translation, localization, content writing, editing, annotation, or language evaluation is preferred.
  • Interest or experience in AI, NLP, Generative AI, or LLM-related projects will be an added advantage.

Preferred Skills:

  • Experience working on AI training, annotation, or data labeling projects.
  • Familiarity with linguistic quality evaluation frameworks.
  • Ability to work independently and meet project deadlines in a remote environment.
  • Strong research and problem-solving skills.

Important Notice:

Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.

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