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UX Researcher

DataAnnotation

full-remotefreelancedesign Florida, United States Today via LinkedIn
Commission-based

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Tags

UX/UI DesignAI TrainingDesign CritiqueVisual DesignUser ExperienceInteraction DesignWeb DesignProduct DesignAesthetic EvaluationUser Research

About the role

Role Overview

As a UX Researcher, you'll help train and improve cutting-edge AI models by evaluating how they understand and generate design work. You'll use your design expertise to assess AI outputs, provide detailed feedback, and refine the model's understanding of aesthetics, usability, and creative quality.

Responsibilities

  • Review and critique AI-generated UI/UX designs, mockups, and visuals
  • Evaluate the quality of AI model outputs for correctness and performance
  • Help train models to better understand aesthetic quality and user-centered design
  • Provide detailed feedback to shape how AI tools support designers

Key Features

  • Flexible Schedule: Work on your own schedule, choosing which projects to take on
  • Growth Area: New and growing focus area for the company teaching AI to understand visual and design principles
  • Tiered Compensation: General AI training projects start at $20+/hr; design-focused projects start at $40+/hr with bonuses for exceptional work

Requirements

  • 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
  • Located in the United States

Nice-to-Have

  • Current, in-progress, or completed Bachelor's degree

Process

Designers apply through the general core assessment, then complete a qualification for Web & UI/UX Design. Once approved, you'll access general AI training projects and be invited to design-specific projects focusing on UI/UX critique, product visuals, and aesthetic evaluation.

About DataAnnotation

DataAnnotation is an AI training company that specializes in improving AI models through human feedback and evaluation. They focus on teaching AI systems to better understand various domains, including design and visual principles.

Scraped 3/31/2026

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