Join the Movement for Health Empowerment at WISEcode
WISEcode is on a mission to transform how people understand, choose, and enjoy the foods they eat. We are not building another static health app. We are pioneering an intelligent, interactive experience that empowers families with clarity, confidence, and curiosity around everyday decisions.
WISEcode is looking for an experienced 3D character artist, technical rigger, and animator to transform our existing branded owl into a fully controllable, reusable 3D character system.
Project Overview: WISEcode Modular Owl Character System
Project Overview
This is not a request for a static model or a single finished animation. We need a master owl asset that can be recolored, posed, animated, exported, and placed into any digital environment without rebuilding the character.
The owl will be used across:
WISEcode products and applications
Websites and interactive experiences
Product onboarding and education
Marketing and social media
Video and motion graphics
Future conversational and AI experiences
The character must preserve the design, proportions, personality, and visual identity of the existing WISEcode owl.
Core Project Goal
Create one production-ready master owl that can:
Change between approved color variations
Be posed and animated through a professional control rig
Support expressive facial and full-body animation
Be rendered against transparent or custom backgrounds
Be exported as an optimized GLB for web and application use
Support future accessories, animations, and character variations
Be maintained by another qualified artist or developer after handoff
The master system should initially support our blue, green, and red owl characters without requiring separate models or rigs.
Must Have Project Requirements
WISEcode – 3D Character Artist / Rigger / Animator (Owl Mascot)
WISEcode is seeking an experienced 3D character artist, rigger, and animator to convert its branded owl mascot into a fully modular, production-ready 3D character system for use across apps, web, marketing, and future AI/conversational experiences.
Core Deliverable: One master owl model (not a single static asset) that can be recolored, posed, animated, and exported without rebuilding — supporting blue, green, and red variants from day one.
Key Requirements:
- Model: Fully modeled, animation-ready topology (wings, body, head, tail, feet, talons, eyes, beak) with clean UVs/silhouette, matching the existing owl's design exactly.
- Rig: Professional animator-friendly controls for face/eyes, body, wings/feathers, legs/feet, and tail — all clearly named and organized.
- Materials: Modular, region-based color system enabling brand variants without new textures or rigs.
- Expressions & Speech: ~15 core emotional expressions, viseme/lip-sync support, and stylized (non-human) speech animation.
- Animation Library: Idle, communication, product-reaction (e.g., scanning, scoring), emotional, and basic movement/flight animations with smooth transitions and layering.
- Real-Time/GLB Output: Fully tested, optimized GLB compatible with Three.js/React Three Fiber — correct scale, materials, transparency, and named animation triggers.
Deliverables: Master Blender file, optimized real-time model, color presets, full animation library with manifest, GLB/FBX exports, turntable/demo renders, and complete documentation (rigging, materials, animation creation, GLB export).
Process: Candidates propose technical approach, software, milestones, and cost by phase across four suggested phases — modeling, rigging, core animation, and optimization/handoff. Strong candidates may propose added value like procedural eye-tracking, a control API, or a mobile-optimized version.
Submission: Portfolio (modeling, rigging, facial rigs, creature/bird work, real-time/GLB examples), animation reel, proposed technical approach, milestones, and pricing by phase.
Why Join WISEcode?
If you are looking to be part of something that drives real change, WISEcode might be the place for you. We are a team genuinely committed to improving people’s health and well-being. We value transparency, creativity, collaboration, and empowering each team member to contribute their unique strengths.
This is an opportunity to define how families interact with intelligence, how curiosity turns into learning, and how thoughtful design can shape healthier habits at scale. Come help us build something that matters.
"You can find the detailed project requirements and scope here".
Required Deliverables
The final production handoff must include:
Master Assets
Rigged master Blender file
High-quality master model
Optimized real-time model
Approved lower-detail version if required
Blue, green, and red material presets
Complete UVs and texture-source files
Shape keys or blend shapes
Facial-expression controls
Speech or viseme controls
Feather and secondary-motion controls
Animation Assets
Approved core animation library
Separate, clearly named animation clips
Facial-expression presets
Pose library
Transition animations
Real-time optimized animation data
Animation manifest listing each clip and its intended use
Export Assets
GLB/glTF
FBX
Source texture files
Transparent-background animation previews
Still turntable renders
Rig demonstration video
Color-preset demonstration
Test files showing animations running in the target environment
Documentation
Rig-control guide
Material and color-editing guide
Animation naming guide
GLB export instructions
Instructions for creating new animations
Instructions for adding accessories
Instructions for adding new color variations
List of dependencies and known limitations
All project source files and custom scripts created specifically for the project must be included in the handoff.
Technical Quality Standards
The completed asset must demonstrate:
Clean topology
Reliable deformation
No broken or disconnected geometry
No visible wing or feather clipping during approved animations
No foot sliding during grounded movement
Clean eye and eyelid movement
Correct wing folding
Stable feather behavior
Consistent animation naming
Clean animation curves
Predictable animation transitions
Organized files and collections
No unexplained dependencies
Successful GLB playback in the actual target environment
The rig should be intuitive enough that a qualified animator can use it without reverse-engineering the setup.
Items to Discuss With the Selected Candidate
The following should be finalized collaboratively based on the candidate’s technical approach and our implementation needs:
Final polygon budgets
Number and complexity of model LODs
Bone count and real-time performance limits
Bone-based versus geometry-based feather system
Shape keys versus joint-based facial animation
Exact viseme set and lip-sync workflow
Level of individual feather control
Physics-driven versus baked secondary motion
Exact launch animation list
Animation clip count by project phase
Animation frame rate
Root motion versus in-place movement
Runtime material-switching method
Accessory attachment system
Three.js and React Three Fiber integration approach
Mobile performance targets
File-size targets
Review schedule and animation approval batches
The candidate should explain the tradeoffs behind their recommended approach rather than simply selecting the most complex solution.
Candidate Value-Add Opportunities
A strong candidate may improve the project by proposing:
A simplified animator-facing control panel
A developer-facing control API
Procedural eye tracking
Procedural blinking
Runtime gaze targeting
Emotion-intensity controls
Animation state-machine recommendations
A reusable accessory socket system
A lightweight mobile model
Automated color-variant generation
Automated GLB export tools
Animation compression recommendations
A browser-based character test environment
Reusable animation layers
Better methods for managing feather performance
A scalable system for future owl personalities
Integration documentation for developers
A practical roadmap for expanding the animation library
These are not substitutes for the required deliverables. They are opportunities for the candidate to demonstrate technical leadership and improve long-term scalability.
Candidate Submission Requirements
Applicants should provide:
Character-modeling portfolio
Rigging reel
Facial-rig examples
Creature, bird, or winged-character examples
Real-time character examples
GLB/glTF export examples
Animation reel
Rig-control demonstration
Proposed production software
Recommended technical approach
Proposed milestones
Cost by project phase
Revision policy
Testing and quality-assurance process
Any risks or recommended changes to this scope
Applicants must identify which portions of the work they will complete personally and whether any parts will be subcontracted.
Suggested Project Phases
Phase 1: Model and Technical Direction
Character translation
Turnaround approval
Production model
Topology and UVs
Initial materials
Technical pipeline confirmation
Phase 2: Rig and Character Controls
Complete body rig
Face and eye rig
Wing and feather controls
Expression system
Color preset system
Initial GLB export test
Phase 3: Core Animation Library
Idle states
Communication gestures
Product-analysis states
Score reactions
Essential emotional reactions
Basic movement and flight
Transitions
Phase 4: Optimization and Handoff
Real-time optimization
Final GLB testing
Animation naming and cleanup
Documentation
Source files
Developer handoff
Final quality assurance
Definition of Done
The project is complete when WISEcode receives one fully editable master owl system that:
Faithfully matches the supplied owl design
Supports the blue, green, and red character variations
Provides complete control over the face, eyes, eyelids, beak, head, body, wings, major feathers, tail, legs, feet, and ear tufts
Supports expressive facial and body animation
Includes the approved core animation library
Transitions cleanly between product states
Exports to a functional, optimized GLB
Can be placed into any transparent or custom environment
Can be controlled by developers inside an interactive experience
Can be expanded without rebuilding the model or rig
Includes complete source files and usable documentation
Has been tested in the actual target environment