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UX Researcher

DataAnnotation

full-remotemidcontractdesignproduct-management Hawaii, United States 48 days ago via LinkedIn
41,600+ USD/annual

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Tags

UX ResearchUI/UX DesignUser FlowInteraction DesignVisual HierarchyAesthetic EvaluationEnglishDesign CritiqueRemote Work

About the role

Role Overview

UX Researcher (independent contract) helping to train and improve AI models. You will review and critique AI-generated UI/UX design outputs to improve the model’s understanding of aesthetics, usability, and creative quality.

What You’ll Do

  • Review and critique AI-generated UI/UX designs, mockups, layouts, and visuals
  • Evaluate AI output quality for correctness and performance
  • Provide detailed feedback to help models improve on:
    • Aesthetic quality
    • User-centered design
    • Visual hierarchy, interaction, and user flow
  • Contribute to design-focused projects such as UI/UX critique, product visuals, and aesthetic evaluation (e.g., presentations and creative deliverables)

How to Apply / Project Access

  • Apply via the general core assessment
  • Complete a qualification for Web & UI/UX Design
  • Once approved, access general AI training projects and design-specific projects

Requirements

  • 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, and user flow
  • Excellent command of grammar, style, and brand voice
  • Bachelor’s degree preferred (in progress or completed)

Compensation & Work Model

  • Remote; full-time or part-time
  • Choose which projects you want to work on and work on your own schedule
  • Pay:
    • General AI training: $20+ USD/hr
    • Design-focused projects: $40+ USD/hr with bonuses for exceptional work
  • Payment via PayPal

Location Constraint

  • Only applicants in the United States are considered.

About DataAnnotation

DataAnnotation is a company that develops and improves AI systems by leveraging contributor feedback to train models. It focuses on helping AI better understand and evaluate tasks, including design and user experience work, through structured assessments and project-based contributions.

Scraped 4/1/2026

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