Full Stack Engineer

AI learned language. Now it needs to learn worlds. Origin Lab is building the data infrastructure for world-model AI. We acquire, capture, enrich, package, and deliver premium rights-cleared multimodal data: game worlds, video, 3D environments, depth maps, telemetry, metadata, and structured annotations. We are backed by Lightspeed Ventures, SV Angel and other Tier 1 investors and moving fast. Every engineer here shapes the product directly. We are looking for our first senior engineer who has built real systems across the lifecycle of AI training data: capture, ingestion, enrichment, orchestration, review, cataloging, delivery, analytics, and monitoring. Experience at Scale AI, Mercor, Surge AI, Appen, or a similar AI training data / human-in-the-loop data platform is highly relevant. We're not looking for a generic full‑stack role - we want relevant experience. As you will come in day 1 and touch almost every part of our technology stack, from data capture and ingestion to AI enrichment, automation, marketplace search, dataset purchase, delivery, and client analytics. You will be reporting to our founding CTO, with major ownership across the core platform. Our stack is Next.js, FastAPI, Python, PostgreSQL, and AWS. What you’ll work on Build ingestion and processing pipelines for video, 3D assets, depth maps, telemetry, annotations, metadata, and model-generated signals. Build automation tools that move data through capture, processing, enrichment, QA, packaging, and delivery. Build AI enrichment systems for scoring, metadata extraction, classification, quality review, redundancy detection, and dataset recommendations. Build internal applications for capture teams, reviewers, operators, and data managers to track, inspect, improve, and assemble datasets. Build customer-facing marketplace tools where AI labs can search, preview, evaluate, query, purchase, and receive datasets. Design the data models behind provenance, asset versioning, licensing state, QA state, delivery history, analytics, and customer entitlements. Build monitoring and analytics so we understand quality, throughput, bottlenecks, customer behavior, and dataset value. What we’re looking for 5+ years building production software across backend, frontend, and data-heavy systems. Experience at Scale AI, Mercor, Surge AI, Appen, or a similar AI training data / human-in-the-loop data platform. (required*) Experience with ingestion pipelines, media workflows, metadata systems, automation tooling, content delivery, or multi-signal data orchestration. (required*) Strong backend instincts: APIs, queues, async jobs, PostgreSQL, migrations, permissions, reliability, observability, and operational tooling. Comfort working across both sides of a marketplace: internal supply/capture workflows on one side, customer discovery, purchase, analytics, and delivery on the other. Product judgment and technical range: you can move from architecture to implementation, backend to frontend, and research outputs to production features. About us Origin Lab acquires, creates, enriches, and delivers AI-enriched mutlimodal data catalogs, specializing in video game content. Our catalog is rights-cleared, model-ready, licensed at the source, and delivered with the structure world-model training actually requires: metadata, telemetry, provenance, auditability, and clear usage rights. We are building the data infrastructure layer for Artificial World Intelligence. #J-18808-Ljbffr