Tashkent delivery hub
An owned Corpshore hub with embedded local teams in Tashkent, Uzbekistan. 3,500+, native coverage of Uzbek, Russian, Karakalpak, Tajik, focused on Speech & TTS, Rare-language annotation, RLHF.
Uzbek · Russian · Karakalpak · Tajik
GDPR-aligned DPA
Tashkent, Uzbekistan
Corpshore's owned Tashkent hub, pinned on the map.
Tashkent, Uzbekistan
Central Asia
Overview
Tashkent is Corpshore's largest Central Asian delivery hub and the operational anchor for the company's rare-language and speech work. The owned facility runs full-time local teams rather than anonymous crowd labor, which lets projects keep the same annotators across long-running speech and preference-data programs. Uzbek, Russian, Karakalpak, and Tajik coverage is native and in-region, so pronunciation, dialect, and script decisions are made by people who use the languages daily.
The hub sits inside Corpshore's wider Uzbekistan footprint, which pairs Tashkent with a second delivery site in Samarkand. Teams here handle text-to-speech corpus design, transcription, and reinforcement-learning-from-human-feedback tasks that need consistent judgment over weeks. The city is Uzbekistan's administrative and technology center, which keeps recruiting, training, and QA supervision close to a deep pool of graduates.
Work is organized around Corpshore's three-tier quality cascade, so speech and annotation output is reviewed in-region before it reaches a client. That local review layer matters most for low-resource languages, where a distant reviewer cannot reliably catch dialect and orthography errors.
Uzbekistan at a glance
Public, approximate country-level context for the Tashkent hub. Figures are rounded and indicative, not Corpshore metrics.
Why Corpshore operates here
Native, in-region coverage of Uzbek across its Tashkent, Samarkand, and Fergana Valley variants, plus Russian and Karakalpak.
A young, university-dense workforce with strong technical and language training.
UTC+5 places the hub between European and East Asian working hours, useful for follow-the-sun handoffs.
Established Corpshore facility and QA supervision already in place, so new programs scale without standing up a site from scratch.
Low-resource language demand that global crowd platforms struggle to staff reliably.
Talent pool
Uzbekistan has a young population with a large annual cohort of university and vocational graduates, many trilingual across Uzbek, Russian, and a growing base of English. That mix suits speech capture, transcription, and multilingual annotation where script switching between Latin and Cyrillic Uzbek is routine.
Because Uzbek is spoken across distinct regional variants, Corpshore recruits for dialect depth rather than a single standard accent, which is what TTS and ASR datasets need to generalize across real speakers.
Specializations
Speech and TTS corpus design: scripted prompts, spontaneous speech, and controlled recording for Uzbek and neighboring languages.
Rare-language annotation: text classification, entity work, and transcription for Uzbek, Karakalpak, and Tajik.
RLHF and preference data: ranked comparisons and demonstrations that need stable, repeat annotators over long programs.
Cross-script handling between Latin and Cyrillic Uzbek within a single pipeline.
Data residency and compliance
GDPR-aligned DPA
The Tashkent hub operates under a GDPR-aligned data processing agreement, with access controls, in-region review, and contractual data-handling terms that mirror European standards. Clients with EU data can rely on the same processing commitments applied across Corpshore's delivery network.
Timezone coverage
At UTC+5, Tashkent overlaps the European morning and the East Asian afternoon. That mid-position lets it receive work from Asian teams and hand finished batches to European reviewers within the same working day.
Why this location works for AI data
One of the few sites that can staff native Uzbek, Karakalpak, and Tajik at production scale rather than through occasional freelancers.
In-region QA catches dialect and orthography errors that remote reviewers routinely miss in low-resource languages.
Latin and Cyrillic Uzbek are handled in the same workflow, avoiding brittle script conversions downstream.
Long-tenure teams keep judgment consistent across multi-week RLHF and speech programs.
Relevant services
Speech & Audio
TTS/ASR in rare languages
TTS datasets, ASR training data, and transcription across 35+ languages including rare and low-resource ones.
View serviceAnnotation & Labeling
Every modality, 97%+ accuracy
Image, video, LiDAR, text, audio and multimodal annotation at 97%+ accuracy via a three-tier QA cascade.
View serviceRLHF & Preference Data
LLM alignment at scale
Reinforcement learning from human feedback, preference labeling, SFT demonstrations, and reward modeling.
View serviceTashkent hub FAQ
Yes. Corpshore owns and runs a physical delivery hub in Tashkent, Uzbekistan, with 3,500+ and full-time local teams focused on Speech & TTS, Rare-language annotation, RLHF.
Ready to scope a pilot?
Tell us your modality, volume, and languages. We'll return an indicative scope, timeline, and cost band.