Question 1

Does Corpshore provide AI training data in Urdu?

Accepted Answer

Yes. Corpshore delivers annotation, speech, and RLHF data in Urdu with native, in-region annotators across 2 dialects: Standard, Dakhini. The data is dialect-deep and built by speakers who live in the language, not an English-first overlay.

Question 2

Which Urdu dialects do you cover?

Accepted Answer

Corpshore covers Standard, Dakhini, with native speakers based in-region, primarily from the Karachi hub. Dialect coverage is defined per project so the data matches the specific Urdu-speaking markets you serve.

Question 3

How many Urdu annotators does Corpshore have?

Accepted Answer

400+ native Urdu annotators. Document AI, OCR, and conversational data. As a Indo-Aryan language, Urdu is handled by people fluent in its structure and everyday usage rather than second-language reviewers.

Question 4

Where are your Urdu annotators based?

Accepted Answer

Urdu annotators are based in-region across Pakistan, working primarily from the Karachi hub. Because they live in the communities whose language they work in, the data reflects real usage, current vocabulary, and natural code-switching.

Question 5

What types of Urdu data can Corpshore deliver?

Accepted Answer

Corpshore produces Urdu annotation, including text labeling, classification, and NER, speech and audio datasets for TTS and ASR, and RLHF and evaluation data. Each type is delivered by native speakers and passes the three-tier QA cascade before handoff.

Question 6

How does Corpshore ensure quality for Urdu data?

Accepted Answer

Every unit of Urdu work passes the three-tier QA cascade: annotator plus peer review, an expert QA-lead audit, and programmatic consensus and gold-set checks, producing 97%+ accuracy. Native reviewers judge the language, so dialect and cultural nuance are checked rather than averaged away.

Question 7

Can Corpshore scale Urdu data collection?

Accepted Answer

Yes. With 400+ native Urdu annotators and dedicated pods rather than per-task marketplace bidding, Corpshore can hold a steady cadence and a consistent taxonomy as volume grows. Urdu is one of 35+ languages Corpshore covers with native, in-region talent.

Question 8

How do I start a Urdu data project?

Accepted Answer

Share your modality, volume, target Urdu dialects, and turnaround, and Corpshore returns an indicative team size, timeline, and cost band, then stands up a dedicated pod. You can start a pilot to validate quality on a real sample before committing to full volume.

Urdu AI training data

Dialect depth

Urdu, answered

Ready to scope a pilot?