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LabelFlow — Data Annotation & QA Platform

LabelFlow — Data Annotation & QA Platform

2026
Full Stack System Architect

LabelFlow — Data Annotation & QA Platform

A scalable data annotation platform that manages the full labeling lifecycle with multi-level quality assurance, task orchestration, and integrated payment workflows.

Project Overview

A scalable data annotation platform that manages the full labeling lifecycle with multi-level quality assurance, task orchestration, and integrated payment workflows.

System Architecture

Architecture Type

Multi-Stage Workflow Engine

Task Ingestion & Splitting

L1 Annotation Queue

L2/L3 Review Pipeline

Escrow Payment Engine

Audit & Logging Layer

System Flow

Upload → Split → L1 Annotate → L2 Review → L3 Approve → Export + Payout

Security

  • JWT-based authentication with role scopes
  • Task locking prevents concurrent annotation conflicts
  • Full audit trail for every state transition
  • Escrow model ensures payment integrity

Performance

  • Queue workers handle parallel task processing
  • Database-level row locking for task state integrity
  • Timeout-based task recovery prevents queue stalls

System Capabilities

Annotator (L1): Task assignment, submission, and payment tracking
Reviewer (L2): QA review and approval/rejection workflow
Super Reviewer (L3): Final arbitration and escalation resolution
Admin: Dataset management, role assignment, and audit access

Deployment & Portability

Supported Platforms
Cloud (AWS/GCP)
On-Premise
Docker

Queue-based task distribution for horizontal scaling

Configurable retry and timeout policies per task type

Pluggable storage adapters for S3/GCS/Azure

Core Features

  • End-to-end annotation lifecycle (upload → split → annotate → review → payout)

  • Multi-level QA system (L1 annotators, L2/L3 reviewers)

  • Task orchestration with locking, timeout, and retry mechanisms

  • Role-based access control and workflow enforcement

  • Escrow-style payment system with audit tracking

  • Scalable task distribution and parallel processing

  • Comprehensive audit logs for all actions and transitions

  • Support for multi-modal data (text, image, video, audio)

Project Impact

  • Designed production-grade workflow engine for annotation systems

  • Ensures data quality via structured multi-stage review pipeline

  • Integrates operational workflows with financial systems (payments + escrow)

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