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Managed Annotation Teams

Dedicated, trained annotation workforces with project managers, quality analysts, and domain specialists. Your team, our management — delivering consistency crowdsourcing cannot match.

Managed annotation teams

Your Dedicated Data Operations Team

Crowdsourcing platforms promise scale but deliver inconsistency. Our managed team model provides the best of both worlds — the throughput of a large workforce with the quality, accountability, and institutional knowledge of an in-house team. Every Centric Labs engagement is staffed by named annotators who are hired, trained, and managed for your specific project. Your team includes a dedicated project manager, trained annotators with domain-specific onboarding, quality analysts running continuous audits, and technical integration specialists who connect our output to your ML pipeline.

  • Named, trained annotators — not anonymous crowd workers
  • Dedicated project manager (US or UAE based)
  • Domain-specific training and qualification testing
  • Embedded quality analysts with continuous audit cycles
  • Elastic scaling from 5 to 200+ annotators
Team Structure

How Managed Teams Work

Every engagement includes a complete operational team structure built for your project.

Project Manager

A US or UAE-based project manager serves as your single point of contact. They own delivery timelines, quality metrics, and team performance — running weekly syncs and providing transparent reporting on progress, throughput, and quality scores.

Annotation Team

Dedicated annotators hired, onboarded, and trained specifically for your project. They receive domain-specific instruction, pass qualification tests, and build institutional knowledge about your taxonomy and quality expectations over time.

Quality Analysts

Embedded QA specialists who audit annotation output continuously. They measure inter-annotator agreement, run sampling-based audits, identify systematic errors, and provide feedback loops that drive continuous quality improvement.

Technical Integration

Integration specialists who connect our annotation output to your ML pipeline — configuring APIs, export formats, cloud storage synchronization, and webhook notifications so annotated data flows seamlessly into your training workflow.

Training & Onboarding

Structured onboarding program for every new annotator: guideline study, tool training, calibration exercises, and qualification testing. We maintain training materials and update them as your taxonomy evolves, ensuring team-wide consistency.

Performance Management

Individual annotator performance tracking across accuracy, speed, and consistency metrics. Low performers receive targeted coaching or replacement. High performers advance to senior reviewer roles, creating a self-improving quality flywheel.

FAQ

Frequently Asked Questions

Most teams are staffed and producing within 5–7 business days. We start with taxonomy review and guideline development, then onboard annotators with a calibration batch to align quality expectations before entering full production. For urgent projects, we can accelerate to 3-day deployment using pre-trained annotator pools.
You get all the benefits of a dedicated team — consistency, domain knowledge, accountability — without the overhead of recruiting, training, managing, and scaling an in-house operation. We handle HR, infrastructure, tooling, and management while you retain full control over quality standards, priorities, and deliverables. Scale up or down as your project demands without layoff or hiring cycles.
Yes. Your project manager facilitates communication, and for enterprise engagements, you can join Slack channels, attend team standups, and provide direct feedback to annotators. We believe close collaboration between your ML engineers and our annotation team produces the best training data outcomes.
We track individual performance continuously. When an annotator falls below quality or speed thresholds, they receive targeted coaching and re-calibration. If performance doesn't improve, they're replaced with a pre-trained backup annotator. This happens transparently — you see performance dashboards and are notified of any team changes.
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Get a Team That Knows Your Data

Start with a free pilot and experience the difference a dedicated, managed annotation team makes. We'll scope your project and propose a team structure within 48 hours.

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