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Junior AI Art Director

Pattern Lehi, UT

Lehi, UT

Today

Part time Ai Content Creation Ai Content Review Ai Design Tools

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Job Description

Pattern is hiring a part-time Junior AI Art Director (20 hours/week) in Lehi, UT (onsite), working with creative, engineering, and studio teams to vet and improve AI-generated ecommerce content for hundreds of global brands.

Responsibilities

Review and audit automated AI outputs across images, copy, and video for visual quality and brand alignment
Experiment with multiple image generation models and tools (including Nanobanana ChatGpt Image, Qwen, Weavey, and local generative workflows) to cover diverse product categories
Perform spot-checks against quality benchmarks to verify that data source assets perform in both training and generation environments
Work onsite with the studio team to understand capture setups and ensure studio photography is tuned for high-fidelity content
Deliver structured, actionable aesthetic feedback to engineering and technical teams to tune and improve the generative engine

Requirements

Strong taste and visual judgment from experience in graphic design, photography, marketing, or fine arts to evaluate brand compliance and imagery quality
Open-minded, eager attitude toward AI and generative image tools, including technical systems for creative production and node-based workflows
Ability to translate abstract brand and visual concepts into precise feedback teams can act on
High energy and comfort with rapidly evolving systems, changing parameters, and pioneering new creative territory
Ability to work onsite in the office (ideally Mondays, Wednesdays, and/or Thursdays) with periodic studio visits

Technologies

Nanobanana ChatGpt Image
Qwen
Weavey
ChatGPT
Gemini
Midjourney
Figma Weave
Weave

Benefits

Accrued PTO
Paid Holidays
Onsite Fitness Center
Company Paid Life Insurance
Casual Dress Code
Competitive Pay
Health, Vision, and Dental Insurance
401(k) match: Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred

What a day in the life looks like

Vetting Creative Outputs: Audit automated AI image generations, copy, and video content for visual quality and brand alignment
Testing and Prompting: Try different image generation models and tools (including Nanobanana ChatGpt Image, Qwen, Weavey, and local workflows) to test creation across product categories
Building Auditing Rules: Spot-check generated imagery against quality benchmarks, including how assets behave in model training and generation environments
Studio & Portal Collaboration: Work onsite with the studio team to understand capture setups and confirm studio photography supports high-fidelity outputs
Feedback Loops: Send structured, actionable aesthetic feedback to engineering to tune and improve the generative engine

High performance looks like

Execution & Output Quality: Identify aesthetic defects, fine-tune model inputs, and maintain high output standards in collaboration with senior leadership
System Integration: Build and document auditing rules that improve the automated generation pipeline
Team & Cross-Functional Impact: Serve as a bridge between creative, studio operations, and engineering
Proactive Problem Solving: Test new generative models and content generation workflows, including R&D tools ahead of full rollouts

Potential for career growth

Pioneer Experience: Gain cutting-edge experience at the intersection of AI generation and commercial art direction
Mentorship: Work under senior creative leadership to build skills in visual judgment, prompt engineering, and model-tuning
Role Expansion: Opportunity to transition from part-time (20 hours/week) into full-time as content production scales up
Cross-Functional Exposure: Build working relationships with engineering, studio management, and cross-departmental teams across Pattern

First 30, 60, 90 days

First 30 Days: Build familiarity with internal content generation processes, branding guidelines, and cross-functional workflows
First 60 Days: Vet engine output independently and identify the visual feedback standards expected by leadership
First 90 Days: Communicate precise feedback to engineering teams and take point on spot-checking portal data capture systems

Team details

Reports directly to the Director of AI Content
Collaborates with the Studio Head, Portal Stylists, Partner Art Directors, Pattern Labs, and other departments including Engineering, Tech, and Marketing
Mentored by the Director of AI Content
Joins a growing team of creative and technical professionals

Company values

Game Changers: Approach problems with an open mind, share new ideas, reassess plans with realistic timelines, and pursue improvements to processes and outcomes
Data Fanatics: Use data to understand problems, draw unbiased conclusions, implement actionable solutions, and track results with data
Partner Obsessed: Clearly explain project status, rely on constructive feedback, listen to partner expectations, and deliver results that exceed them
Team of Doers: Lift team members, take initiative, support improvements, and stay accountable to both the team and partners

Hiring process

Video interview with Talent Acquisition
Video Interview with Hiring Manager
On-Site Interview
Video Interview with Department Leader
Professional reference checks
Executive review
Offer

How to stand out as an applicant

Portfolio (nice-to-haves): Share a visual portfolio showing fine art, photography, graphic design, or commercial advertising work
Tool exposure (nice-to-haves): Prior experience with node-based workflow tools (such as Weave/Figma Weave) or basic prompting with generative tools (ChatGPT, Gemini, Midjourney)
Background/training: Training or background in Graphic Design, Photography, or Commercial Marketing
Interview tips: Walk through portfolio examples that show eye for detail, composition, and brand consistency; system design experience is a plus
Show AI curiosity: Provide concrete examples of experiments or AI tool use in personal, academic, or professional projects
Demonstrate interdisciplinary thinking: Discuss technical concepts comfortably while keeping aesthetic quality and user experience in focus

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