Live opening · Posted 3 days ago

Mobile App Designer (AI Training Data, $13–$30/h)

Huzzle.com · Romania (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyHuzzle.com
LocationRomania (Remote)
Work modeYes
SkillsFigma
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

Mobile App Designer (AI Training Data, $13–$30/h)
Contract · Fully remote
Overview
- Huzzle is seeking UI/UX designers who have designed mobile apps for iOS and Android, to contribute to a project that improves how frontier AI systems understand mobile interfaces.
- You will not be joining a product team or taking on a client. You contribute as an independent expert, part-time, alongside your current work.
- The work draws on what you already do: designing app screens and flows that follow platform conventions and hold up next to shipped products.
- Project specifics are covered on a short intro call. Prior AI or data-annotation experience is not required.
Key responsibilities
- Design mobile app screens and flows for iOS and Android to a written brief.
- Cover the states a real app has, not only the happy path: empty, loading, error and filled.
- Deliver organised Figma files and exported screens.
- Revise your work against reviewer feedback.
Ideal qualifications
- 2+ years designing mobile apps, with iOS or Android work in your portfolio.
- Strong Figma capability: components, auto layout and variants.
- Working knowledge of Apple's Human Interface Guidelines and Material Design.
- Clear written English.
- 20+ hours per week availability.
- Agency, in-house and freelance backgrounds all welcome. A design degree is not required.
Contract
- You will be engaged as an independent contractor.
- Fully remote, completed on your own schedule.
- The engagement may be extended, shortened or concluded early depending on programme needs and performance.
About Huzzle
Huzzle partners with leading AI organisations to evaluate and improve frontier models using deep human expertise. Contributors work directly on the assessment of advanced AI systems in their own field, are paid competitively, and help define the standards by which those systems are measured.

Work arrangement
Yes

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