Elevate Global AI Performance with
Clearly Local’s Data Expertise
Webinar Details
Topic
Driving High-Performing AI with High-Quality Multilingual Data
Date & Time
Chinese webinar
February 11, 2026
12:00 (CET) / 19:00 (CST)
English webinar
February 13, 2026
14:00 (CET) / 21:00 (CST)
Duration
Format
Interactive webinar with industry experts
Why Attend?
- Learn how to collect and create multilingual datasets tailored for AI applications.
- Understand best practices for data annotation and validation to ensure accuracy and reliability.
- Explore prompt engineering strategies for optimizing generative AI performance.
- Gain actionable insights from experts on scaling AI globally with high-quality data.
- Build smarter AI with multilingual data collection, annotation, validation, and prompt engineering that delivers real-world accuracy.
Who Should Attend?
- AI Product Managers
- Data Scientists & Engineers
- Localization & Language Technology Teams
- Current and Prospective Clients seeking global AI solutions
Meet the Speakers

Jill Huang, Customer Success Director at Clearly Local
Jill Huang is a senior expert with over 15 years of experience in localization, content creation, and enterprise client delivery. In recent years, Jill has led AI-driven initiatives including data annotation and validation, human-in-the-loop workflows, and prompt evaluation, helping clients improve quality, speed, and ROI at scale.

Jake Syropoulo, Content Manager at Clearly Local
Jake Syropoulo specializes in creating and localizing content for global audiences. With a deep understanding of AI trends and practical ways to apply them, Jake brings hands-on experience using AI to improve content production, consistency, and global readiness.

James Li, Program Director at Clearly Local
James Li is the Program Director at Clearly Local, bringing over two decades of experience in localization technology and global content operations. With deep expertise in technical solution design and R&D, he is responsible for driving innovation across Clearly Local’s platforms and workflows.