Hindi Quality Coordinator – LLM Data & Model Training

Accountabilities: • Coordinate Hindi language quality activities: Support the planning and execution of linguistic quality processes for AI training, data generation, and model evaluation projects.

• Ensure linguistic accuracy: Review Hindi-language content and datasets to assess grammar, spelling, vocabulary, fluency, cultural relevance, and overall linguistic consistency.

• Support LLM data preparation: Contribute to the validation, annotation, and refinement of Hindi-language datasets used for training and evaluating large language models.

• Monitor data quality: Identify linguistic inconsistencies, errors, ambiguities, and potential quality issues, ensuring that data meets established project guidelines and quality benchmarks.

• Coordinate quality workflows: Work with linguists, reviewers, data specialists, and project teams to organize quality assurance activities and maintain consistent delivery standards.

• Evaluate AI-generated content: Assess Hindi-language model outputs for accuracy, relevance, naturalness, contextual understanding, and alignment with linguistic and cultural expectations.

• Provide feedback and recommendations: Document recurring issues, communicate quality findings, and recommend improvements to annotation guidelines, review processes, and linguistic standards.

• Maintain project documentation: Ensure quality reports, review results, feedback records, and project-related documentation are accurate and up to date.

• Support continuous improvement: Identify opportunities to enhance linguistic evaluation methods, data quality processes, and overall model training effectiveness.

• Collaborate across teams: Coordinate with internal and external stakeholders to address quality concerns, resolve project challenges, and ensure alignment with delivery expectations.

Requirements:

• Excellent written and spoken Hindi proficiency, with a strong understanding of grammar, syntax, vocabulary, semantics, and regional language variations.

• Strong English communication skills to collaborate effectively with international teams and understand project documentation and instructions.

• Experience in linguistic quality assurance, translation, proofreading, localization, language annotation, content review, or multilingual data projects.

• Understanding of AI, machine learning, natural language processing (NLP), or Large Language Model (LLM) concepts, with an interest in contributing to AI development.

• Familiarity with data annotation, linguistic evaluation, content validation, or quality assessment workflows.

• Strong attention to detail and the ability to identify linguistic inaccuracies, inconsistencies, contextual errors, and subtle differences in meaning.

• Excellent analytical and critical-thinking skills, particularly when evaluating language quality and AI-generated responses.

• Strong organizational and coordination abilities, with the capacity to manage multiple tasks, follow detailed guidelines, and meet project deadlines.

• Effective written and verbal communication skills, including the ability to provide clear, constructive feedback and document quality findings.

• Ability to work independently in a remote environment while collaborating effectively with cross-functional and international teams.

• Adaptability and willingness to learn new tools, technologies, and evolving AI data quality methodologies.

Additional advantages:

• Previous experience working on LLM training, AI evaluation, or generative AI data projects.

• Familiarity with annotation platforms, linguistic quality tools, and data management systems.

• Experience coordinating language teams, reviewers, or quality assurance workflows.

• Knowledge of Hindi dialects, regional expressions, cultural nuances, and contextual language usage.

• Academic background in Hindi, linguistics, translation studies, computational linguistics, or a related discipline.

Benefits:

• Fully remote working arrangement, based in India.

• Opportunity to contribute to innovative multilingual AI and LLM development projects.

• Exposure to artificial intelligence, natural language processing, machine learning, and advanced language technologies.

• Opportunity to apply and develop Hindi linguistic expertise in a growing technology-driven industry.

• Collaboration with international teams and multilingual language professionals.

• Exposure to large-scale projects supporting global clients across diverse industries.

• Opportunities to develop expertise in AI data quality, linguistic evaluation, and model training.

• Dynamic and collaborative working environment focused on innovation, quality, and continuous improvement.

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