# Hindi Quality Coordinator – LLM Data & Model Training at Welo Global

> Remote · India · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/lever%3Aweloglobal%3Aa84abd2f-b1f3-4139-8f7c-a154956c8e6b (read 2026-11-11).

## Facts (observed)

- Company: [Welo Global](https://alderhq.app/companies/welo-global)
- Location text: Gurgaon, India
- Where it can be done from (inferred): Remote · India (evidence: "Location lists "gurgaon" and remote")
- Posted: 2026-11-11 (0 days ago)
- First seen by alder: 2026-11-11 · last verified: 2026-11-11
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/weloglobal/a84abd2f-b1f3-4139-8f7c-a154956c8e6b
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 5): p25 ₹19.8L, median ₹19.8L, p75 ₹32.9L

## Description (the employer's text)

About Welo Global

Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Aweloglobal%3Aa84abd2f-b1f3-4139-8f7c-a154956c8e6b and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.