Creative Evaluation Lead, Artwork — Netflix
ProductLead

Creative Evaluation Lead, Artwork

NetflixPosted Jun 14, 2026

Netflix is hiring a Creative Evaluation Lead for Artwork to lead AI-driven transformation of promotional artwork — designing creative rubrics and evaluation criteria for AI image models, running QC on outputs, and bridging creative, product, and ML R&D teams to scale AI-first artwork at Netflix scale.

Location
Los Gatos or Los Angeles, CA (or US Remote)
Work mode
Remote
Seniority
Lead
Compared with 39 other Product roles: Common across similar roles Unique to this role
What you'll do

Responsibilities

  • Support R&D sprints on AI models by designing creative rubrics and standardized asset evaluation criteria using gold-standard references
  • Oversee quality control of AI model outputs, maintain creative alignment, and synthesize findings for model improvements
  • Execute AI solutions within active content-launch workflows, ensuring reliability and scalabilityUnique
  • Establish feedback loops identifying human-intervention patterns during asset fulfillment to inform model enhancements
  • Partner with creative teams to identify production challenges and translate them into AI opportunitiesCommon
  • Lead annotator training and maintain current documentation on AI model capabilities
  • Monitor external AI developments in imagery to inform strategy
What you'll need

Experience

  • 7+ years of hands-on professional creative making experience with a focus on artwork
  • Strong portfolio demonstrating composition, color, typography, and brand-constraint management
  • Familiarity with AI image/video tools (Runway, Midjourney, DALL·E, Stable Diffusion, Firefly, Leonardo)
  • Experience creating artwork style guides and templatesUnique
  • QC process experience for creative assetsUnique
  • Ability to blend artistic understanding with quantitative analysisUnique
  • Strong communication explaining creative decisions to diverse stakeholders
  • Cross-discipline collaboration with product, creative, and technical teams
  • Systems-level thinking focused on scaling workflows
View original posting ↗