Language Specialist

3 weeks ago

india, IN Innodata Inc. Full time

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.


Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.


Job Title: Language Specialist – AI Training & Evaluation


About the Role:


We are seeking highly skilled Language Specialists to contribute to the training and enhancement of Large Language Models (LLMs). In this role, you will leverage your linguistic expertise to evaluate prompts, rate AI-generated outputs, and create high-quality content that helps refine AI performance. You will play a critical role in shaping the accuracy, fluency, and cultural relevance of AI systems used by global technology leaders.


Key Responsibilities:

  • Evaluate prompts and responses generated by AI models to ensure linguistic accuracy, coherence, and contextual relevance.
  • Serve as a rater by providing structured feedback on AI outputs, identifying errors, biases, or inconsistencies.
  • Develop, edit, and curate high-quality content for training datasets across diverse domains.
  • Collaborate with cross-functional teams of linguists, data annotators, and AI researchers.
  • Ensure cultural and linguistic nuances are well-represented in model training.
  • Follow established guidelines while also contributing feedback to improve evaluation frameworks.


Qualifications:


  • Master’s degree (or higher) in Linguistics, Language Studies, Translation, or related field.
  • Strong command of written and spoken language with excellent grammar and stylistic skills.
  • Experience in content writing, editing, or evaluation preferred.
  • Analytical mindset with attention to detail and ability to identify subtle linguistic issues.
  • Interest in AI, natural language processing (NLP), or large language models is a plus.


Also you need to go through two assessments,so kindly apply only if you will be available for the assessment and ready to collaborate for the project.

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