AI Visual Design Lead

About the Role

We are seeking a visionary AI-Native Visual Design Coach to lead and mentor a team focused on the visual quality of AI models, ensuring they meet global design standards and drive creative excellence.

Responsibilities

• Lead and develop a team of visual design annotators, evaluators, and AI quality specialists.
• Provide ongoing coaching to elevate visual judgment, consistency, and annotation accuracy.
• Build a culture of continuous learning in AI, design fundamentals, and model behavior.
• Maintain visual quality standards, aesthetic guidelines, and annotation frameworks for foundational visual AI research.
• Oversee the creation of high-fidelity datasets that reflect professional design craft.
• Establish scalable QA processes that ensure consistency across projects and contributors.
• Work closely with researchers, data scientists, and product partners in the China Core team.
• Translate visual quality issues into actionable, structured insights for engineers.
• Serve as the primary communication bridge between the China-based team and global Content design and AI leadership.
• Produce clear, concise written reports, insights, and proposals in English.
• Identify opportunities to streamline annotation, scoring, and evaluation workflows.
• Advocate for design-centric priorities in foundational model development.

Requirements

• Experience leading creative or design-adjacent teams, ideally in tech, AI, or digital product environments.
• Deep understanding of visual design fundamentals (composition, hierarchy, typography, color, layout, creative direction).
• Ability to evaluate visual quality and guide teams toward higher standards.
• Broad understanding of global design styles and culturally diverse aesthetics.
• Familiarity with generative AI systems, training data workflows, and evaluation methodologies.
• Experience working with cross-functional engineering or research teams.
• Strong written English communication skills required — clarity, structure, and confidence.
• Ability to translate design feedback into structured input for technical partners.
• Comfortable working across cultures, time zones, and work modes.

Nice-to-Haves

• Experience coordinating with global teams in matrixed environments.
• Background in design and creative QA.
• Knowledge of annotation tool ecosystems or ML data pipelines.