xelys jobs xelys jobs

UX/UI Designer

HiredBuddy

full-remotejuniordesign California, United States Today via LinkedIn

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

UX/UI DesignFigmaSketchAdobe XDUser-Centered DesignDesign ThinkingUI AnnotationPrompt EngineeringAccessibilityUsability

About the role

Role overview

Entry-Level UX/UI Designer (remote) at Hiredbuddy. You’ll help train AI models to “think like a designer” by evaluating AI-generated design outputs, creating and refining design-focused prompts, and producing high-quality training/ground-truth annotation data.

Responsibilities

  • Evaluate AI-generated UI mockups and provide constructive feedback on:
    • layout, visual hierarchy, color usage, typography, and overall usability
  • Annotate UI elements (e.g., buttons, forms, navigation menus, icons) to create ground-truth data for model training
  • Rank multiple design variations based on UX best practices and aesthetic appeal
  • Craft detailed prompts that guide AI to generate better design solutions
  • Review AI-generated front-end code to ensure it matches design specifications
  • Identify edge cases and potential usability issues; document findings
  • Collaborate to refine annotation guidelines and improve data quality

Requirements

  • 0–2 years of experience in UX/UI (or related field)
  • Foundational knowledge of UX/UI principles (wireframing, prototyping, user-centered design)
  • Basic proficiency with design tools: Figma, Sketch, Adobe XD (or similar)
  • Strong attention to detail and analytical thinking
  • Strong written communication skills in English
  • Ability to work independently, manage a remote schedule, and meet deadlines
  • Willingness to learn new tools and processes

Nice to have

  • Experience with AI technology
  • Knowledge of accessibility standards in design

About HiredBuddy

HiredBuddy is an AI data annotation and labeling platform. It helps train advanced AI models by evaluating and annotating AI-generated outputs, including design-related results, to improve how models understand user experience and design quality.

Scraped 8/1/2026