Hebrew Linguistic Evaluator & Functional Tester

About Welocalize 
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.com

ROLE OVERVIEW 
Welocalize is looking for a native-level Hebrew speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client. 
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying. 
Welocalize is looking for a native-level Hebrew speaker to join a large-scale AI and consumer technology programme. 
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hebrew, and your judgement shapes how well it works before anyone else uses it. 
If you enjoy noticing the detail other people miss, this is work you'll find satisfying. 
 
MAIN RESPONSIBILITIES 
Review pre-release AI model output in Hebrew and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.