DataAnnotation is hiring: UI/UX Product Designer in New York

Join to apply for the UI/UX Product Designer role at DataAnnotation Our team is seeking a UI/UX Product Designer to help train and improve cutting‑edge AI models. You’ll assess and enhance how AI systems understand, generate, and evaluate design work — including interfaces, layouts, visuals, and user experiences. In this role, you’ll use your design expertise to evaluate AI outputs, provide detailed feedback, and help refine the model’s sense of aesthetics, usability, and creative quality. Your insights will directly shape how the next generation of AI tools supports designers. This is a new and growing area for our company, focused on teaching AI to better understand visual and design principles. Designers apply through our general core assessment and then complete a qualification for Web & UI/UX Design. Once approved, you’ll have access to general AI training projects and be invited to contribute to design‑specific projects. Benefits Full-time or part-time remote position Choose projects and work on your own schedule General AI training projects start at $20+ USD/hr; design‑focused projects start at $40+ USD/hr, with bonuses for exceptional work Payment is made via PayPal (no request for money; PayPal handles currency conversions) Responsibilities Review and critique AI‑generated UI/UX designs, mockups, and visuals Evaluate the quality produced by AI models for correctness and performance Help train models to better understand aesthetic quality and user‑centered design Qualifications Fluency in English (native or bilingual level) Background in UI/UX design, web design, product design, or graphic design Strong understanding of visual hierarchy, interaction design, and user flow Excellent command of grammar, style, and brand voice A current, in‑progress, or completed Bachelor’s is preferred but not required Seniority level Entry level Employment type Full-time or Part-time Location Remote – only United States applicants considered Referrals increase your chances of interviewing at DataAnnotation by 2×. #J-18808-Ljbffr