Project Coordinator - Generative AI Data Operations

Responsibilities

• Payroll & Payment Processing
• Collect and verify timesheets, overtime logs, and attendance records for a distributed workforce of 300-500 people.
• Process payments in accordance with established schedules, ensuring accuracy and on-time delivery.
• Reconcile payroll runs against source data; flag and resolve discrepancies quickly.
• Maintain clean, well-organized payroll records and audit trails.
• Follow up with employees and managers on missing documentation or policy exceptions.
• OT & PTO Tracking
• Maintain accurate records of overtime hours across multiple teams and time zones.
• Track PTO balances, accruals, and usage; update records promptly after approvals are received.
• Prepare regular OT and PTO summary reports for managers and HR.
• Ticket Processing & Issue Resolution
• Triage and resolve incoming finance tickets (payment questions, expense disputes, PTO balance queries) within defined SLAs.
• Escalate complex or high-value issues to the Finance Operations Manager with clear context and recommended next steps.
• Keep the ticket queue organized and up to date in the team's task management system.
• Spreadsheet & Data Management
• Build and maintain spreadsheets for payroll tracking, expense summaries, headcount rosters, and OT/PTO registers.
• Apply formulas, filters, and pivot tables to produce clean, accurate reports on demand.
• Identify and fix data errors before they reach downstream reports or payments.

Requirements

• 2+ years of experience in reporting, analytics, and data reconciliation, can also build reports and work across systems.
• Hands-on experience with Power BI, Workday, Excel, PTO and timekeeping processes, and operational reporting.
• Hands-on experience working with large s

Additional Information

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 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. Please note that the working hours for this role are from 8:30 PM to 5:30 AM IST. This is a work-from-home opportunity, and we also provide a monthly night shift allowance of INR 6,000-7,000, which is over and above the offered CTC. 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.

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