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UI/UX Product Designer

DataAnnotation

full-remotemidcontractdesign Missouri, United States 72 days ago via LinkedIn

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Tags

UI/UX DesignProduct DesignUser FlowInteraction DesignVisual HierarchyDesign CritiqueRemoteEnglish (Native/Bilingual)Aesthetic EvaluationGraphic Design

About the role

Role overview

UI/UX Product Designer (Remote) You’ll help train AI models by evaluating and improving how they understand, generate, and assess design work—covering interfaces, layouts, visuals, and user experiences. Your feedback will directly influence the model’s sense of aesthetics, usability, and creative quality.

Responsibilities

  • Review and critique AI-generated UI/UX designs, mockups, and visuals
  • Evaluate AI output quality for correctness and performance
  • Help train models on aesthetic quality and user-centered design
  • Contribute to design-specific projects such as:
    • UI/UX critique
    • Product visuals
    • Aesthetic evaluation (presentations and creative deliverables)

Qualifications

  • Fluency in English (native or bilingual)
  • Background in UI/UX design, web design, product design, or graphic design
  • Strong understanding of:
    • Visual hierarchy
    • Interaction design
    • User flow
  • Excellent command of grammar, style, and brand voice
  • Bachelor’s degree preferred but not required (current/in-progress/completed)

Contracting & assessment path

  • Apply through a general core assessment, then complete a qualification for Web & UI/UX Design
  • After approval, you’ll get access to general AI training projects and be invited to design-specific projects

Compensation & schedule

  • Remote; you can choose which projects to work on and set your own schedule
  • General AI training: $25–$30+ USD/hr
  • Design-focused projects: $40+ USD/hr
  • Bonuses for exceptional work
  • Independent contract; payment via PayPal

About DataAnnotation

DataAnnotation is a company that uses AI-driven assessments and training projects to improve cutting-edge AI models. It focuses on helping models understand and evaluate design-related outputs, contributing to better visual and design understanding for next-generation AI tools.

Scraped 5/20/2026