Job Description
We’re seeking an AI-Native Visual Designer. A new-era hybrid designer with deep visual judgment, strong design fundamentals, and hands-on experience shaping AI systems. You will help train, evaluate, and improve AI-powered creative tools by applying expert annotation, quality assessment, and design-led thinking. This role sits at the intersection of design, data, and product/engineering, ensuring our models deliver visually excellent, brand-aligned, and human-centred output.
1. 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.
2. 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.
3. 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.
4. 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.
5. Data & Process Stewardship
- 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.
Qualifications
Design Foundations
- Strong grasp of composition, color 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 labeling, 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.
This role is perfect for designers who are:
- Curious about the future of AI-driven creativity
- Comfortable with both artistic judgment and structured evaluation
- Excited to influence how AI models “see” and “create”
- Skilled in both visual taste and systematic thinking
