> Markdown version of [/jobs/ext/4481368-data-labeling-analyst](https://www.wearedevelopers.com/jobs/ext/4481368-data-labeling-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Labeling Analyst - **Company:** TUNDRA TECHNICAL - **Location:** New York, NY, United States - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Big Data, Human-Computer Interaction - **Published:** October 17, 2026 - **Apply:** https://www.nettemps.com/us/en/W834A0FFC4B098130E8.ntap ## About the Role Graphic design portfolio required as part of job application. Understanding of visual design principles, including hierarchy, contrast, balance, proximity, alignment, repetition, and unity. Exceptional attention to detail and the ability to critically assess visual content. Ability to identify trends within large data sets and provide actionable insights. Excellent verbal and written communication skills to convey feedback and collaborate with Meta AI teams. Bachelor's of Fine Arts (BFA) in Graphic Design. Proven experience in graphic design, visual arts, social media creative, marketing ad creative or a related discipline. Preferred qualifications Knowledge of user experience (UX) and user interface (UI). Master's degree or higher in a design-related field. Location New York, NY, United States of America ## Description As a member of our design annotation team, this role will be responsible for ensuring the compositional quality of AI-generated images for advertisers. The ideal candidate for this role will have a background in graphic design and the ability to provide detailed feedback on the visual elements of images, ensuring that they meet specific standards of quality and aesthetic appeal. Responsibilities: Evaluate AI-generated images to determine compliance with established visual design principles. Annotate and provide detailed feedback on images, highlighting areas of success and areas for improvement. Maintain a consistent and high standard of evaluation across a diverse range of images. Analyze large data sets to inform product decisions, and communicate with Product Design leads to pinpoint trends in model performance.