TL;DR

AI Visual Annotation & Quality Lead (AI Engineering): Leading and developing a team of visual design annotators, evaluators, and AI quality specialists ensuring that visual AI models meet a high global standard of design craft. Focus on maintaining visual quality standards, aesthetic guidelines, and annotation frameworks for foundational visual AI research.

Company

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What you will do

Lead and develop a team of visual design annotators, evaluators, and AI quality specialists.
Maintain visual quality standards, aesthetic guidelines, and annotation frameworks for foundational visual AI research.
Work closely with researchers, data scientists, and product partners in the China Core team.
Serve as the primary communication bridge between the China-based team and global Content design and AI leadership.
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).
Familiarity with generative AI systems, training data workflows, and evaluation methodologies.
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 have

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

Culture & Benefits

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.