Refine the Visual Future of Digital MapsDo you have a designer’s eye for detail and a passion for polished digital experiences? Welo Data is seeking professional designers and UI/UX specialists for an exclusive project evaluating the aesthetic quality and geospatial accuracy of personalized map designs.
This isn't just about labels and lines—it's about the intersection of high-end visual design and real-world navigation. You will help ensure that location recommendations are not only accurate but intuitively designed and visually stunning.
Why This Project is Built for You
- High-Impact Design Work: Influence the visual language of digital maps used by millions.
- Premium Freelance Rate: We value your professional design background and critical eye.
- Flexible Project Flow: Work remotely within the United States on a freelance basis.
- Expert Community: Join a network of high-level specialists for potential future design-focused opportunities.
Project Details:
- Rate: $29/hour
- Location: Remote, US
- Device focus: iPhone, iOS mobile Experience
- Employment Type: Independent Contract
What You Will Do
- Aesthetic Audit: Evaluate the polish, readability, and framing of digital map viewports.
- Geospatial Logic: Assess the accuracy and relevance of personalized location suggestions.
- Detail Tagging: Identify and flag specific design issues (e.g., masking errors, font scaling, or icon placement).
- Usability Testing: Ensure the digital experience is intuitive, helpful, and high-quality.
Ideal Candidate Profile
- Professional Background: Proven experience in Visual Design, UI/UX, or Graphic Design.
- Tech Ecosystem: You are a proficient iPhone/iOS user and an active Google Maps user with an established Gmail history.
- Critical Eye: Ability to think critically about spatial context and identify Trust & Safety violations.
- Spatial Thinker: Familiarity with geospatial tools or side-by-side evaluation interfaces is a major plus.
- Compliance: Comfortable providing consent for limited activity history to personalize task data.