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About the role
We are looking for a detail-oriented and curious Data Curation Intern to help build high-quality datasets for training AI/ML models with a specific focus on Indian language and multilingual data. You will work with large open-source datasets (e.g., Sangraha by AI4Bharat) that require significant cleaning, structuring, and enrichment before they can be used effectively in model training pipelines. This is a hands-on, high-impact role at the intersection of data engineering, linguistics, and AI. You will start with text data pipelines and progressively move toward preparing data for read-speech and voice model training. What Were Looking For Must Have Strong attention to detail you notice inconsistencies others miss Comfort with Python for data processing (pandas, regex, basic NLP libraries like spaCy or NLTK) Familiarity with text data formats: CSV, JSONL, Parquet, plain text corpora Curiosity about AI/ML, language technology, or computational linguistics Ability to work independently, document work clearly, and communicate blockers early Good to Have Prior exposure to NLP datasets or open-source language resources (IndicNLP, AI4Bharat, Hugging Face datasets) Knowledge of one or more Indian languages beyond English Experience with data versioning tools (DVC, Git-LFS) or dataset platforms (Hugging Face Hub) Basic understanding of how language models or speech models are trained Why This Role Work directly on real data pipelines that feed AI model training not toy projects Gain hands-on experience with large-scale multilingual and Indic language datasets Build skills that are in high demand across AI labs, speech companies, and NLP startups Clear progression path: text read speech voice data, with increasing responsibility Mentorship from people who have built data and AI systems at scale Karya celebrates diversity and is an equal opportunity employer. All applicants will be considered without regard to race, religion, gender identity, sexual orientation, disability, or any other protected status. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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