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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
The Payroll Analyst 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.
We are seeking a highly analytical and detail-oriented professional with experience in reporting, data reconciliation, workforce operations, and financial tracking. This role will be responsible for processing large volumes of data, building and maintaining reports, reconciling information across multiple systems, and identifying discrepancies, trends, and operational gaps that require attention.
The ideal candidate has hands-on experience with Power BI, Workday, Excel, PTO and timekeeping processes, and operational reporting. This person should be comfortable combining and validating data from multiple sources, supporting invoicing and workforce tracking, analyzing headcount and hours data, and ensuring reporting accuracy across teams.
Responsibilities will include creating dashboards and reports, auditing data for inconsistencies, identifying items that do not align, and partnering cross-functionally with Operations, Finance, and Workforce teams to support business needs and improve reporting processes.
Strong analytical skills, attention to detail, organizational skills, and the ability to manage multiple priorities in a fast-paced environment are essential. The ideal candidate is proactive, solutions-oriented, and able to clearly communicate findings, risks, and recommendations to stakeholders.
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
WHAT GOOD LOOKS LIKE IN THIS ROLE
The best person for this job:
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