UX Designer Job at DataAnnotation in Lincoln

Join to apply for the UX Designer role at DataAnnotation We are looking for a UX 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. This is a new and growing area for our company, focused on teaching AI to better understand visual and design principles. At this stage, designers should apply through our general core assessment and then complete a qualification for Web & UI/UX Design. Once approved, you’ll not only have access to general AI training projects but also be invited to contribute to design‑specific projects such as UI/UX critique, product visuals, and aesthetic evaluation. This is a full‑time or part‑time REMOTE position. You’ll be able to choose which projects you want to work on and can work on your own schedule. General AI training projects start at $20+ USD/hr, while design‑focused projects start at $40+ USD/hr, with bonuses for exceptional work. 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 degree is preferred but not required. Payment is made via PayPal. We will never ask for any money from you. Only applicants in the United States will be considered for this role. This is an independent contract position. Other Details Seniority level: Entry level Employment type: Full‑time Job function: Design, Art/Creative, and Information Technology Industries: Software Development Referrals increase your chances of interviewing at DataAnnotation by 2x. #J-18808-Ljbffr