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About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Job Reference: #LI-JC1
The Payroll Coordinator keeps the financial engine running smoothly for a distributed workforce of 300–500 people. Working closely with the Operations Manager, you will process payments, manage submissions, track overtime and paid time off, and resolve finance tickets with speed and accuracy. This role is about precision, follow-through, and great communication — no background in AI is required.
Please note that the working hours for this role are 5:30 PM to 12:30 AM IST, and it is a work-from-home opportunity.
This is a great starting point for someone who is organized, numbers-savvy, and wants to build a career in operations inside a fast-growing global data company.
Key Responsibilities:
Payroll & Payment Processing
OT & PTO Tracking
Ticket Processing & Issue Resolution
Spreadsheet & Data Management
Experience
Skills
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