AI Data Evaluator (Native English)

We are looking for a native English-speaking student based in Israel to support our annotation and quality-review workflows. In this role, you will help review ad-related outputs using a predefined framework and clear annotation briefs. This is a hands-on, hourly role suited for someone who is detail-oriented, sharp, reliable, and interested in marketing, media, communications, psychology, or adjacent fields. You will work closely with our data science and creative teams and help improve the quality of our systems over time. No prior annotation experience or prior experience in digital advertising, brand-safety review, or policy review systems is required. We will provide onboarding and guided training so you can learn the framework and workflow.

This is a temporary role to start, with the potential to grow into a full-time position for the right person.

What you’ll spend your time on

• Review ad creatives, headlines, brand-safety judgments, policy compliance, and other outputs based on annotation briefs
• Apply simple rubric-based tagging, identify violations, and make pass/fail decisions against defined briefs
• Support light QA and process hygiene around annotation tasks, including flagging unclear or edge-case examples
• Collaborate closely with the data science and creative teams as part of the ongoing workflow

Capabilities

• Native English speaker based in Israel, currently a student in second year or above
• Studying communications, marketing, media, psychology, or a similar field, with availability of at least 10 hours per week
• Strong written English judgment, with the ability to recognize what makes an ad/message effective
• Detail-oriented, reliable, organized, and consistent in following instructions
• Fast learner who can work independently after onboarding and training
• Past experience in advertising, communications, creative evaluation, or AI-enabled products - Advantage

Work Setup

• Work from home, with office-hours availability preferred during onboarding and early training
• Hours reported through a time-tracking app