UI / UX Design Expert

About this role

**1\. Role Overview** Mercor is partnering with a leading AI research organization to engage experienced UI/UX and product designers for a project focused on evaluating how well AI systems perform real-world digital product design work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications. **2\. Key Responsibilities** - Design precise, task-specific grading criteria for real-world digital product and UX deliverables (design systems and component libraries, responsive UI layouts and dashboards, end-to-end product flows such as onboarding, checkout, and booking, logged-in customer portals, UX writing and product content, and design-to-engineering/production handoff) - Score AI-generated and human work samples against those criteria, with detailed written justifications for every score - Apply consistent, evidence-based judgment so that scores are reproducible and defensible - Incorporate structured feedback from senior reviewers and iterate quickly on your work **3\. Ideal Qualifications** - 5+ years of professional experience in product design, UI/UX, or design systems for real digital products (not brand or marketing sites) - Background at leading digital-product and UX studios, in-house product-design teams at major product-led companies, or e-commerce and marketplace companies with sophisticated customer portals and dashboards - Experience across one or more relevant tracks: Product / UI / Design Systems Designer, UX Lead, UX Writer / Content Designer, or digital Product / Business Analyst - Deep fluency in the day-to-day craft: interaction and visual design, design systems, responsive layouts, end-to-end product flows, prototyping and production handoff in Figma, and articulating critique the way a design or UX lead would in a review - Exceptionally strong written communication, with the ability to explain exactly why a piece of work does or does not meet the bar for a real product and its users - Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers - Prior experience with AI training, evaluation, or human-data projects is a strong plus **4\. Application Process** - Submit your resume, portfolio, or relevant professional background to get started - Qualified applicants may be asked to complete a brief assessment or submit additional information

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Arts & Design