Welo Data
Technology
ProjectManager-GenerativeAIDataOperations
Neural analysis suggests this role is
optimal for Manager candidates.
“Project Manager - Generative AI Data Operations at Welo Data. Skills: Process management, Cross-functional coordination, Vendor management, Stakeholder management, Operational metrics, Resource planning, Continuous improvement. Monitor QA plans. Track risks of defects”
What You'll Achieve.
Meet volume and turnaround targets; Improve speed, quality, or cost
Industry & Context.
Corrective actions; Process improvement; Risk resolution; Issue resolution
What They're Looking For.
Must Have
Planning and organization across multiple projects, Clear communication with clients and internal, Solid use of spreadsheets, PM/task boards, Practical QA know-how, Capacity planning, scheduling, and vendor coordination, Coaching gives day-to-day guidance, Confident escalation and negotiation, Comfortable working with global, distributed teams
Nice to Have
Basic familiarity with ETL concepts is a plus
What You'll Do.
Track risks of defects
Lead corrective actions
Forecast capacity schedule shifts
Align vendors and internal teams
Build and deliver training
Update training materials
Maintain dashboards for throughput
Turn data into clear actions
Ensure policy adherence on data handling
Support platform audits and remediation
Remove pilot small changes
Explain quality results
Coach Coordinators and Associate PMs
Support onboarding and skills growth
Manage employee attendance
Conduct individual performance reviews
Support contract renewals
Manage change requests
Escalate high-impact items
How You'll Work.
Team & Collaboration
Global, distributed teams; Cross-functional teams; Client reviews
Communication Scope
Clear communication; Client communication; Governance forums
Process & Methodology
Planning, Organization, Capacity planning, Scheduling, Vendor coordination, Risk management, Change control
Full Job Description
## Description 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 Key Responsibilities: Quality Assurance: Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria). Track risks of defects, lead corrective actions, and prevent recurrences. Workforce Planning: Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets. Training Programs: Build and deliver training and certification for raters/annotat
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