---
title: 'Data Curation Intern at Karya'
canonical: 'https://feeny.ai/job/data-curation-intern-karya-bengaluru-yax1gkbh3nj1'
type: 'job'
last_seen: '2026-10-13'
---

# Data Curation Intern at Karya

- **Company:** Karya
- **Location:** Bengaluru, India
- **Posted:** 2026-05-11
- **Last confirmed live:** 2026-10-13
- **Apply:** https://job-boards.greenhouse.io/karya/jobs/5215559008

## Job description

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 fixes, noise removal, sentence boundary detection Create and apply metadata tagging schemas labelling text by domain (news, legal, literature, health, etc.), subdomain, language, register, and quality tier Build validation checklists and quality scorecards to benchmark dataset readiness for model training Document data provenance, licensing, and processing steps for reproducibility

Phase 2: Speech & Voice Data Preparation Curate high-quality, phonetically diverse text passages suitable for read-speech recording Ensure text selection covers domain, prosodic, and phonemic variety required for TTS/ASR model training Assist in defining metadata standards for audio datasets (speaker demographics, recording conditions, transcription format) Support the pipeline transition from text corpus to aligned speech dataset

## What We're 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.

## About Karya

## Core Business
- **Primary industry/industries**: AI Data Services, Language Technology, Ethical Data Collection, Impact Tech
- **Target customers**: B2B – AI labs (e.g., Google DeepMind, Microsoft), enterprises building multilingual AI systems, government and public-sector AI initiatives
- **Mission**: “Create dignified digital work that improves livelihoods while shaping AI systems that reflect the people who build them.” [karya.in](https://www.karya.in/about/mission/)

## Products & Services
- **Conversational Speech Datasets**: Large-scale datasets across 22 official Indian languages for speech recognition and conversational AI. [karya.in](https://www.karya.in/)
- **Evaluation Benchmarks (Samiksha)**: National-scale evaluation frameworks covering 6 Indian languages, 17 models, and 4 key domains (healthcare, agriculture, finance, law, education, public services). [karya.in](https://www.karya.in/)
- **Data Collection & Annotation Services**: Domain-specific transcription, localized translation, and multimodal dataset creation (including egocentric datasets for physical/embodied AI). [karya.in](https://www.karya.in/)
- **Karya Platform (PaaS)**: A digital work platform that distributes AI-data microtasks to rural workers, enabling human-in-the-loop evaluation and bias mitigation. [karya.in](https://www.karya.in/) and [linkedin.com](https://in.linkedin.com/company/karya-inc)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Total Funding**: USD $1,000,000 (grant from Google.org, led by Google.org, November 2024) [linkedin.com](https://in.linkedin.com/company/karya-inc)
- **Key Metric**: Over 130,000 workers have completed 65+ million paid digital tasks; 99 employees (45.8% YoY growth) [linkedin.com](https://in.linkedin.com/company/karya-inc)
- **Notable Investors/Partners**: Google.org (grant), Google DeepMind, Microsoft, partnerships with leading AI labs; expanded to Kenya and Ethiopia [karya.in](https://www.karya.in/about/mission/)
- **Growth Signals**: Launched Karya Institute (2025) to explore the future of work in AI; published research at CHI 2019 and LREC 2020; spun out of Microsoft Research; presented to Satya Nadella and Sundar Pichai [karya.in](https://www.karya.in/about/mission/)

## Competitive Advantages
- **Ethical & Inclusive Data Sourcing**: Karya’s platform directly benefits low-income rural workers by paying fair wages, differentiating itself from exploitative data labeling models.
- **Deep Focus on Underrepresented Languages**: Specializes in 22 Indian languages and underserved communities globally, creating datasets that major AI companies cannot easily replicate.
- **End-to-End Pipeline**: Offers data collection, annotation, evaluation, and deployment – a vertically integrated stack for multilingual AI.
- **Research-Backed Origin**: Born from Microsoft Research, giving it credibility and technical depth in crowdsourced work and language technology.

## Strategic Focus
- **Geographic Expansion**: Pilots in Kenya and Ethiopia to replicate the model for African languages and communities.
- **“Earn & Learn” Strategy**: Developing pathways for workers to gain skills and move out of poverty, combining earning with upskilling.
- **Karya Institute**: Research arm exploring the future of digital work and AI’s impact on low-income communities.
- **Product Diversification**: Moving beyond data collection into evaluation benchmarks and platform-as-a-service for enterprise clients.

## Why Work Here
- **Mission-Driven Culture**: Join a team committed to using AI for social impact – creating dignified work and inclusive AI systems.
- **Growth Trajectory**: Rapidly scaling (45% headcount growth YoY) with opportunities to shape operations, technology, and impact in India and Africa.
- **Work Policy**: Mix of office (Bangalore) and remote roles (e.g., Visual & Motion Designer Remote, Health Program Lead Remote) as seen on the careers page. [greenhouse.io](http://job-boards.greenhouse.io/karya)
- **Engineering & Research Focus**: Strong technical team (29% in technical roles) with backgrounds from Microsoft, Wadhwani AI, and top Indian institutes. Work on cutting-edge NLP, speech, and multimodal AI.
- **Notable Perks**: The chance to work directly with global AI labs (Google DeepMind, Microsoft) and present to top tech leaders. Limited employer reviews (2.0/5.0 from 1 review on LinkedIn) – candidate should research culture further.

## Sources
1. [karya.in – Homepage](https://www.karya.in/)
2. [karya.in – About/Mission](https://www.karya.in/about/mission/)
3. [LinkedIn – Karya Company Page](https://in.linkedin.com/company/karya-inc)
4. [Greenhouse – Karya Careers Page](http://job-boards.greenhouse.io/karya)

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