Mobile App Designer (AI Training Data)
Huzzle Photo, LLC
United States
9 days ago
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Role details
Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Experienced
Experience required
2 years minimum
Compensation
$31,200.0 - $72,800.0
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Artificial Intelligence
Apple IOS
Design of User Interfaces
Human-Computer Interaction
Mobile Application Software
Material Design
Figma
Job description
- 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., * 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.
Requirements
- 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.
Benefits & conditions
- 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.
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