AI Visual Designer - 3 month contract

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.

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 exp 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, color 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 behavior.

• 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.