At a Glance
- Tasks: Join a global tech client as an AI-native visual designer, shaping the future of AI-driven creativity.
- Company: Innovative global tech company specialising in online design and publishing.
- Benefits: Competitive day rate, fully remote work, and potential contract extension.
- Other info: Collaborate with top professionals in a dynamic, fully remote environment.
- Why this job: Influence AI models with your creative vision and enhance design excellence.
- Qualifications: Strong design foundations and experience in prompt engineering required.
I am looking for an AI-native visual designer to join a global tech client who specialise in online design and publishing. The ideal candidate for this role is curious about the future of AI-driven creativity and to influence how AI models see and create. You must have the ability to direct AI from a creative perspective and have experience in prompt engineering.
Start Date: Ideally Asap
Duration: 3 month contract with the possibility to extend to 6 months.
IR35 Status: Inside IR35 (must go through an Umbrella company)
Location: Fully remote open to both UK and South Africa based candidates.
UK Day Rate: Depending on experience, rate will range from £350-£480. (SA rate TBC)
Summary: An AI-Native Visual Designer becomes the bridge between design excellence and model research. In a Core Research environment, the designer materially strengthens the feedback loops needed to push models toward world-class performance. This designer ensures the client's visual AI is trained, evaluated, and improved using world class design judgment: accelerating Research’s ability to ship models that feel premium, intuitive, and globally competitive.
- They bring human visual judgment into model training.
- They create high-quality, high-granularity annotation data.
- They strengthen the human-in-the-loop evaluation cycle.
- They translate research improvements into designer-centric feedback.
- They bring a user-centered lens to foundational research.
Key Responsibilities:
- Visual Evaluation & Annotation: Annotate and label large volumes of visual data (images, UI layouts, compositions, graphics, photos). Provide high-quality tagging related to style, composition, colour theory, typography, and visual hierarchy. Evaluate AI-generated output for accuracy, aesthetic quality, usability, and alignment with design principles. Identify patterns, errors, and edge cases to improve model performance.
- Design Quality Assessment: Develop visual scoring criteria and rubrics to guide model improvement. Review outputs across various creative formats (illustration, branding, UI components, marketing visuals). Validate whether outputs meet user expectations, brand standards, accessibility guidelines, and ethical guidelines.
- Cross-Functional Collaboration: Work closely with machine learning engineers, research scientists, and product teams to provide design-driven feedback loops. Translate design concepts into structured feedback that model teams can use (e.g., style attributes, visual defects, composition rules). Help communicate creative insights into technical documentation.
- Prototyping & Creative Exploration: Use generative AI tools to create visuals, test hypotheses, and prototype user workflows. Explore new capabilities and push the boundaries of AI-assisted creativity. Offer creative direction for improving model outputs and user-facing features.
- Data & Process: Maintain data quality and consistency in annotation projects. Contribute to the development of taxonomies for visual styles, attributes, and design patterns. Document annotation methodologies and participate in improving annotation tooling.
Experience and Skillset:
- Design Foundations: Strong grasp of composition, colour theory, typography, layout, visual hierarchy, and storytelling principles. Portfolio demonstrating visual design excellence across one or more domains (graphic, product, UI/UX, illustration, etc.).
- AI & Technical Understanding: Familiarity with generative AI tools (image models, large language models, design AIs). Understanding of how AI training data, annotation, and quality metrics influence model behaviour. Ability to evaluate model output with precision and articulate actionable feedback.
- Collaboration & Communication: Able to translate design critique into structured, repeatable feedback for technical and product partners. Experience collaborating with engineers, researchers, or technical teams is a plus. Strong written communication skills and comfort in documentation-heavy workflows.
- Bonus Skills: Experience with Figma, Adobe Creative Cloud, or 3D tools. Prior data labelling, annotation, or ML operations experience. Basic familiarity with scripting (Python), prompt engineering, or dataset tooling. Knowledge of design accessibility (WCAG), usability heuristics, or user research methods.
Please apply with your CV and portfolio.
AI Designer - 3 month contract in Cambridge employer: Salt
Join a forward-thinking global tech client as an AI Designer, where creativity meets cutting-edge technology in a fully remote environment. This role offers the unique opportunity to influence AI-driven design while collaborating with top-tier professionals, ensuring your contributions directly impact the future of visual AI. With competitive day rates and a culture that fosters innovation and growth, this position is perfect for those eager to push the boundaries of design and technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Designer - 3 month contract in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work, especially projects that involve AI-driven creativity. Make sure it’s easy to navigate and visually appealing – after all, you’re applying for a design role!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI tools and design principles. Be ready to discuss how you’ve used prompt engineering in past projects and how you can contribute to enhancing AI models with your creative insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Designer - 3 month contract in Cambridge
Some tips for your application 🫡
Show Off Your Portfolio:Your portfolio is your chance to shine! Make sure it showcases your best work, especially anything that highlights your skills in AI-driven design. We want to see how you blend creativity with technology.
Tailor Your CV:Don’t just send the same CV for every application. Tailor it to highlight your experience with visual design and AI tools. We love seeing how your background aligns with what we’re looking for!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and design comes through without any fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Salt
✨Know Your AI Tools
Familiarise yourself with the generative AI tools mentioned in the job description. Be ready to discuss your experience with them and how you've used them in past projects. This shows you're not just a designer but also someone who understands the tech behind the creativity.
✨Showcase Your Portfolio
Your portfolio is your best friend! Make sure it highlights your visual design excellence across various domains. Include examples that demonstrate your understanding of composition, colour theory, and typography, especially in relation to AI-driven projects.
✨Prepare for Collaboration Questions
Since this role involves working closely with machine learning engineers and researchers, be prepared to discuss your past collaborative experiences. Think of specific examples where you translated design concepts into actionable feedback for technical teams.
✨Understand the User-Centric Approach
This position requires a user-centered lens on foundational research. Be ready to talk about how you've incorporated user feedback into your design process and how you ensure that your designs meet user expectations and accessibility guidelines.
