**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
hackajob is partnering with Mercor to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Upskill
Level up the hackajob way. Verify your skills, learn brand new ones and test your ability with Pathways, our learning and development platform.
Find out more