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Scope is worldwide and no work-authorisation, presence, language, timezone, or credential restriction was found in the body text.
“Worldwide” Geographic scope — No location restrictions stated — worldwide.
We are sourcing independent 3D Modeling and Python Specialists to provide their expertise for a specialized AI 3D asset collection project. As AI models increasingly generate and interact with 3D environments, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce collision-accurate 3D meshes from 2D reference images, write procedural generation scripts, and deliver structured programmatic outputs (JSON/JS) to train AI systems on geometric construction and trajectory logic.
Procedural Geometry Generation: Writing Blender Python (bpy) scripts or Three.js/JavaScript code to procedurally generate 3D geometry using geometric primitives and Boolean operations (union, subtraction, extrusion).
Structured Output & Trajectory Logging: Producing programmatic JSON/JS outputs representing the mesh and maintaining meticulous trajectory logs that capture sequential build actions for reproducibility.
Quality Assurance & Workflow Adherence: Auditing all assets against strict quality checklists before submission, maintaining precise file naming conventions, and sustaining high-volume output within a structured annotation platform.
Demonstrable proficiency in Blender Python scripting (bpy) and/or Three.js/JavaScript. Note: You must be able to write code to generate outputs; GUI-only modeling experience will not qualify for this project.
Deep understanding of geometric primitives (cubes, spheres, cylinders, cones) and Boolean operations, with a focus on low-poly construction rather than high-fidelity, subdivision-heavy sculpting (e.g., ZBrush).
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