1. Scope of System

Trainarium Labs is a specialized high-latency-averse annotation environment designed for the preparation of machine learning datasets. This system is engineered to minimize human-in-the-loop bottlenecks.

2. Process Workflow

Phase I: Ingestion. Initialize a 'New Project Container' and upload raw datasets via the Secure Drop Zone. Phase II: Labeling. Changes are broadcast with < 10ms latency.

3. Quality Verification

Verification is governed by data owners, who can assign verifiers that can review and approve labels in real-time. The system supports multi-tiered verification workflows.