DataAnnotation
We are looking for an E‑Commerce Web Designer to help train and improve cutting‑edge AI models. You’ll assess and enhance how AI systems understand, generate, and evaluate design work — including interfaces, layouts, visuals, and user experiences.
In this role, you’ll use your design expertise to evaluate AI outputs, provide detailed feedback, and help refine the model’s sense of aesthetics, usability, and creative quality. Your insights will directly shape how the next generation of AI tools supports designers.
This is a new and growing area for our company — focused on teaching AI to better understand visual and design principles. At this stage, designers should apply through our general core assessment and then complete a qualification for Web & UI/UX Design. Once approved, you’ll not only have access to general AI training projects but also be invited to contribute to design‑specific projects focused on UI/UX critique, product visuals and aesthetic evaluation.
Benefits
This is a full‑time or part‑time REMOTE position
You’ll be able to choose which projects you want to work on
You can work on your own scheduleGeneral AI training projects start at $20+ USD/hr, while design‑focused projects start at $40+ USD/hr, with bonuses for exceptional work.
Responsibilities
Review and critique AI‑generated UI/UX designs, mockups, and visuals
Evaluate the quality produced by AI models for correctness and performance
Help train models to better understand aesthetic quality and user‑centered design
Qualifications
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
A current, in progress, or completed Bachelor's is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
Referrals increase your chances of interviewing at DataAnnotation by 2x.
#J-18808-Ljbffr
In this role, you’ll use your design expertise to evaluate AI outputs, provide detailed feedback, and help refine the model’s sense of aesthetics, usability, and creative quality. Your insights will directly shape how the next generation of AI tools supports designers.
This is a new and growing area for our company — focused on teaching AI to better understand visual and design principles. At this stage, designers should apply through our general core assessment and then complete a qualification for Web & UI/UX Design. Once approved, you’ll not only have access to general AI training projects but also be invited to contribute to design‑specific projects focused on UI/UX critique, product visuals and aesthetic evaluation.
Benefits
This is a full‑time or part‑time REMOTE position
You’ll be able to choose which projects you want to work on
You can work on your own scheduleGeneral AI training projects start at $20+ USD/hr, while design‑focused projects start at $40+ USD/hr, with bonuses for exceptional work.
Responsibilities
Review and critique AI‑generated UI/UX designs, mockups, and visuals
Evaluate the quality produced by AI models for correctness and performance
Help train models to better understand aesthetic quality and user‑centered design
Qualifications
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
A current, in progress, or completed Bachelor's is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
Referrals increase your chances of interviewing at DataAnnotation by 2x.
#J-18808-Ljbffr