Senior Project Manager
WelocalizeMexico
Posted March 6, 2026
Full Time
About the Company
For over 25 years, Welocalize has helped some of the world's largest organizations improve customer engagement through the power of localized content. Since our founding in 1997, we've been a leader in applying innovative technology and adopting AI to deliver the highest quality translations quickly, efficiently, and at scale. Our proven track record showcases tangible business outcomes, including higher marketing conversion rates, regulatory compliance, increased customer satisfaction and retention, intellectual property protection, higher adoption rates, and improved data with enhanced models. At the heart of our innovation is OPAL, our advanced Service Delivery Platform, ensuring every translation is fast, effortless, and impeccably accurate. This technology, combined with our extensive network of over 250,000 linguistic experts in more than 250 languages, allows us to deliver multilingual content transformation services that are unmatched in quality and relevance. Our global team of industry specialists is dedicated to enabling your teams to achieve global business outcomes. From translation and localization to NLP-enabled machine learning training data, and data annotation, we blend cutting-edge technology with human insight across every project.
Job Description
The Senior Project Manager oversees multi-project portfolios for AI training data programs, leading delivery and scale, and ensuring quality consistency. Key responsibilities include portfolio delivery, governance and reporting, capacity planning, quality consistency, process automation, vendor management, financial control, risk and issue management, client and stakeholder management, team enablement, compliance and security, and people management.
Requirements
- Bachelor's degree or equivalent experience in business, operations, data/engineering, or similar
- 2-3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields
- Background in capacity planning, vendor coordination, and quality systems; experience piloting or scaling process automation is a plus
- Near-native English with strong writing and editorial skills
- Hands-on experience with generative AI tools (text, voice, or video)
- Background in QA testing, rubric design, or AI safety/ethics evaluation
- Familiarity with data-annotation platforms and model-evaluation tools
- Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required)