Unreal Engine 5 Developer

Wirestock is one of the leading data platforms for ethically sourced multimodal data, serving top AI labs with high-quality, fully licensed training datasets. We are scaling rapidly to meet demand for curated visual data.

Contract role (3-4 months), remote in North America or Latin America with partial overlap with Pacific Time required. Start: Late August.

About the Role

We're building a pipeline in Unreal Engine 5 to produce structured, richly annotated synthetic video data for AI training. You'll own the full technical pipeline solo: from render setup and optimization through to structured data export and validation. This is a hands-on production role focused on building a system that turns rendered scenes into clean, buyer-ready datasets.

Responsibilities

• Implement and optimize render passes in UE5 (RGB, depth, optical flow, normals, amodal masks, and custom AOVs) against a locked metadata specification
• Build Python tooling to drive rendering, extract per-frame/per-object metadata, and export it into structured formats (parquet/JSONL)
• Ensure coordinate system and convention correctness (handedness, units, rotation representation, depth/flow semantics) so exported data is usable without buyer-side guesswork
• Implement derived/computed annotations (e.g., visibility episodes, occlusion attribution, articulation state) from raw render/transform data
• Build validation tooling (consistency checks, reprojection checks, overlay visualizations) to confirm exported data is correct
• Work independently against a detailed spec, flagging technical risk or scope tradeoffs as they come up

Requirements

• Unreal Engine 5
• Render optimization (performance tuning for high-fidelity, multi-pass renders)
• Python scripting within UE5 (Editor scripting, automation, pipeline integration)
• Level Instances
• Chaos Physics
• Custom AOVs (Arbitrary Output Variables) / custom render pass authoring
• Python for data work (comfortable with numpy/pandas-style structured data handling)
• Experience working with EXR or similar multi-channel image formats as data
• Solid grasp of 3D coordinate transforms: quaternions, matrices, handedness/axis conventions
• Comfort designing a data schema and export pipeline at scale (structured tabular formats, consistent file/frame organization)
• Git

Nice to Have

• Prior experience producing data for ML/computer vision training (synthetic data, sim-to-real, robotics, photogrammetry, or similar)
• Experience with data export pipelines consumed outside the engine (e.g., in Python/Jupyter, a CV pipeline, or a data science workflow)
• Movie Render Queue
• PCG (Procedural Content Generation) framework

Engagement Details

• Contract role with day/week rate, open budget range depending on experience level
• Full-time equivalent hours expected for the duration of the engagement
• Duration tied to reaching a validated, production-ready technical stack rather than a fixed calendar deadline
• Solo ownership of this workstream with support from project management and data teams
• NDA required prior to detailed technical scoping (post-interview)