DataCurationIntern

About Karya: Why was Karya on the cover of the Time Magazine , highlighted by Satya Nadella , and invited to present its work to Sundar Pichai one on one? In part, because Karya is on a mission to provide AI enabled earning and learning opportunities to communities with high talent, but low access to opportunities. Karya achieves this while also delivering high quality, timely, and price competitive data to its clients. Karya builds high quality datasets for large companies like Google and Microsoft, while providing ethical work opportunities and fair wages to its workforce. Karya’s workers make nearly 20 times the Indian minimum wage and through our one-of-a-kind digital work platform, we have delivered over 40 million digital tasks and have positively impacted over 100 thousand workers. In the coming years, our goal is to rapidly scale our impact by bringing economic opportunities to millions of underserved users in India. With a rapidly growing global presence, we are also looking to expand our client base in the Indian market by partnering with leading Indian enterprises. 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 You'll Do Phase 1: Text Data Curation Audit and profile open-source datasets (Sangraha, Common Crawl, IndicCorp, etc.) to assess quality, coverage, and noise levels Design and implement data cleaning pipelines: deduplication, script normalisation, encoding fixe