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For Companies At a Glance
- Tasks: Lead the design of AI models and enhance their understanding of visual and user experience.
- Company: Join DataAnnotation, a pioneering company in AI and design.
- Benefits: Flexible remote work, choose your projects, and earn $20+ to $40+ per hour.
- Why this job: Shape the future of AI tools while showcasing your design expertise.
- Qualifications: Experience in UI/UX or graphic design; fluency in English is essential.
- Other info: Independent contract role with great growth potential in a dynamic field.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Lead Product 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. Designers should apply through our general core assessment and then complete a qualification for Web & UI/UX Design. Once approved, you'll have access to general AI training projects and be invited to contribute to design-specific projects focusing on UI/UX critique, product visuals, and aesthetic evaluation.
Benefits
- Full-time or part-time remote position
- Choose which projects to work on
- Work on your own schedule
- General 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
- 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. Payment will handle currency conversions from USD. Only applicants in the United Kingdom will be considered for this role. This is an independent contract position.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Design, Art/Creative, and Information Technology
Industries: Software Development
Lead Product Designer in London employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Designer in London
✨Tip Number 1
Network like a pro! Reach out to fellow designers and industry professionals on platforms like LinkedIn. Share your passion for AI and design, and don’t hesitate to ask for advice or insights about the role.
✨Tip Number 2
Show off your portfolio! Make sure it’s up-to-date and highlights your best work in UI/UX design. Tailor it to showcase projects that align with the job description, especially those involving AI or innovative design solutions.
✨Tip Number 3
Prepare for interviews by practising common design critique scenarios. Think about how you would evaluate AI-generated designs and articulate your thought process clearly. This will show your expertise and confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll have access to all the latest projects and opportunities tailored for talented designers like you.
We think you need these skills to ace Lead Product Designer in London
Some tips for your application 🫡
Show Off Your Design Skills: When you're applying, make sure to highlight your design expertise. Share examples of your work that showcase your understanding of UI/UX principles and how you've tackled design challenges in the past. We want to see your creativity shine!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Lead Product Designer role. Mention how your skills align with our mission to improve AI models through design.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Make sure to apply through our website to ensure your application gets the attention it deserves. Following the proper channels helps us keep track of applicants and makes the process smoother for everyone involved!
How to prepare for a job interview at DataAnnotation
✨Know Your Design Principles
Brush up on your understanding of visual hierarchy, interaction design, and user flow. Be ready to discuss how these principles apply to AI-generated designs, as this will show your expertise and help you stand out.
✨Prepare for Critique Scenarios
Think about how you would evaluate AI-generated UI/UX designs. Prepare specific examples from your past work where you provided constructive feedback, as this will demonstrate your ability to assess and improve design quality.
✨Showcase Your Aesthetic Sense
Bring a portfolio that highlights your best work in product design and UI/UX. Be prepared to explain your design choices and how they align with user-centred principles, as this will showcase your creative quality.
✨Familiarise Yourself with AI Tools
Research the latest AI tools used in design and be ready to discuss how they can enhance the design process. Showing your interest in AI's role in design will resonate well with the interviewers and demonstrate your forward-thinking approach.
