3D Environment Artist — Freelance / Project-Based (Physical AI Training Data)

Physicl builds the training data layer for Physical AI — high-fidelity, physics-tagged 3D scenes and assets that robotics and foundation model teams use to simulate and understand the real world. The platform is already used in production by teams at Meta, DeepMind, and World Labs, and every asset that ships passes through Physicl's global network of 3D specialists and physics reviewers before it goes live.

We're growing that network, and looking for freelance 3D Environment Artists who build tightly optimized, game-ready interior and warehouse scenes — not traditional "hero shot" architectural visualization.

This is project-based freelance work, not a full-time position. You're paid per completed, quality-approved scene, with a consistent pipeline of ongoing work for artists who pass review reliably.

What you'll do:

Build simulation-ready 3D environments in 3ds Max against a locked technical specification — optimized geometry and physically-based materials, structured the way our pipeline requires. This is game-engine discipline, not cinematic rendering.

What you'll need:

• Working proficiency in 3ds Max (2022 or 2023) and V-Ray (5.x)
• Real, hands-on experience with physically-based (PBR) material workflows — not heavy procedural or scatter-based archviz techniques
• Clean, optimized modeling habits — quad-based topology, sensible use of instancing — built for real-time/simulation use, not one-off beauty renders
• Comfort working inside a strict, non-negotiable technical spec rather than open creative direction
• Based in Ukraine, available for ongoing remote freelance work

Our hiring process:

1. Apply with a portfolio that shows your process, not just final renders — wireframes or topology views are a strong plus
2. Complete a brief skills test
3. Complete free, self-paced onboarding training so you're fully familiar with our workflow and technical spec before your first paid project

Email: [email protected]