Project Manager- Generative AI Data Operation - weloglobal

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

Roles and Responsibilities

Role Purpose

Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project. Improves performance, compliance, and processes across multiple projects. Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance. “Owns quality, workforce, and training programs that scale Generative AI data operations, driving performance, compliance, and process improvement across a project.

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/annotators and coordinators; update materials as guidelines change.

· Performance Management: Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement.

· Compliance & Security: Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation.