3D Modeling & Python Specialist - Freelance AI Trainer Project
MeridialLegit · not rated yetPosted on 4 May 2026
Pay: $22/hr
- Who can apply
- Open worldwide
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Data annotation
At a glance: A freelance, remote data annotation job with Meridial. It pays $22/hr, with hours that vary. People in any country can apply.
Ongoing · listed since 4 May 2026
Meridial keeps this listing open to recruit all year. It is still open, but it isn’t a new opening.
What happens after you click Apply
- You leave AI Trainer HQ and go to Meridial’s own site.
- Apply to a listing
- Assessment
- Onboarding
How this pay compares
This job pays more than 5% of the 205 other software engineering jobs on the board that state pay; 95% pay more.
- This job
- $22/hrAs listed
- Median on Meridial
- $65/hrFrom 539 other paid jobs
- Median in software engineering
- $65/hrFrom 205 other paid jobs
Requirements
- Qualifications
- 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)
- Proven experience creating collision-accurate 3D meshes from 2D reference images
- Highly detail-oriented with the discipline to maintain trajectory logs, strictly follow file naming conventions, and self-audit work to maintain high reliability scores
- Preferred Experience: Background in game asset creation, familiarity with screen recording/keylogging tools, or prior experience within AI/ML data annotation workflows
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Project Overview
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.
Project Deliverables & Scope
Operate autonomously to generate precise 3D assets and programmed outputs. Expected deliverables include:
• 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).
• Mesh Alignment & Export: Producing collision-accurate meshes from 2D reference images (masked + RGB), capturing accurate screenshot alignments, and exporting assets to .obj, .glb, or similar formats.
• 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.
Required Expertise
To successfully fulfill the deliverables of this project, Contractors must possess a strong blend of 3D modeling fundamentals and programmatic scripting skills.
Core skillset includes:
• 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).
• Proven experience creating collision-accurate 3D meshes from 2D reference images.
• Highly detail-oriented with the discipline to maintain trajectory logs, strictly follow file naming conventions, and self-audit work to maintain high reliability scores.
• Preferred Experience: Background in game asset creation, familiarity with screen recording/keylogging tools, or prior experience within AI/ML data annotation workflows.
We offer a fixed pay rate of $22 per hour. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Engagement Type: Freelance / Independent Contractor
Workplace Type: Remote
Listing history
- First seen on our board
- (9 days ago)
- Posted by Meridial
- Last checked
- Source
- Greenhouse
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