Data Project Manager_ ENGLISH
Pubblicato il 17-08-2026 - Welocalize in Italia
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. Welocalize is seeking a Multilingual Data Annotation Project Manager for an initial 1-year contract to join our global localization delivery team. In this role, you will lead the execution, validation,
and delivery of high-volume multilingual localization and quality assurance (LQA) projects for our enterprise clients. You will act as the key operational bridge between client-side teams, in-country linguistic reviewers, translation vendors, and internal talent communities to ensure multilingual assets are culturally aligned, linguistically flawless, and delivered on schedule.
Manage end-to-end localization projects, including scope planning, resource allocation, schedule tracking, and final delivery of multilingual content.
Prepare comprehensive project briefs, handoff packages, linguistic quality guidelines, and progress trackers for global teams.
Coordinate and onboard in-country reviewers, freelance linguists, subject matter experts (SMEs), and translation vendors.
Monitor project financials, budgets, and operational margins to ensure service delivery aligns with established KPIs.
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