About Wirestock

Wirestock is one of the leading data platforms for ethically sourced multimodal data. We serve some of the world’s top AI labs, including several foundation models, by providing high-quality, fully licensed training datasets. As the AI data landscape undergoes a major shift, we are scaling rapidly to meet rising demand for curated visual data.

Type: Contract, 3-4 months (day/week rate)

Location: Remote - North America or Latin America, 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. The work centers on building a technical pipeline to take Unreal Engine scenes that needs to be rendered and exported with dense per-frame metadata, and ground-truth passes suitable for machine learning consumers.

You'll own the full technical pipeline solo: from render setup and optimization through to structured data export and validation. While part of the outputs will be aesthetically sound renders, this is a hands-on production role, not a creative/art role. We need someone who can build the system based on a defined feature set that can turn a rendered scene into a clean, buyer-ready dataset.

What You'll Do

• 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), not just automate the editor
• Handle 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

Required Skills

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

Beyond the engine

• Python for data work. Comfortable with numpy/pandas-style structured data handling, not just script automation
• Experience working with EXR or similar multi-channel image formats as data (not just for compositing/viewing)
• Solid grasp of 3D coordinate transforms: quaternions, matrices, handedness/axis conventions, and converting between them
• Comfort designing a data schema and export pipeline at scale (structured tabular formats, consistent file/frame organization)
• Git

Strong Pluses

• Prior experience producing data for ML/computer vision training (synthetic data, sim-to-real, robotics, photogrammetry, or similar)
• Experience with data export pipelines that were later consumed/analyzed 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, day/week rate. Open budget range depending on experience level
• Full-time equivalent hours expected for the duration of the engagement
• Duration is tied to reaching a validated, production-ready technical stack rather than a fixed calendar deadline
• Solo ownership of this workstream. You'll be the primary technical contributor on the pipeline with help from project management and data teams
• NDA required prior to detailed technical scoping (post-interview)

How to Apply

Please share:

• A portfolio or reel emphasizing technical/pipeline work in UE5 (rendering, tooling, or automation - not primarily art/level design)
• Any examples of exporting engine or render data into a format consumed elsewhere (a script, dataset, or pipeline you built)
• Your day/week rate and availability
• Confirmation of Pacific Time overlap availability

This role involves data capture and processing work for an AI-adjacent product. Further project details will be shared under NDA later in the process.