ADBOK — AI Data Body of Knowledge

The Global
Standard for
AI Data
Operations

IntelliScan Standards Institute advances the global standardization of AI data practices — certifying the professionals who build, evaluate, and govern the training data that powers modern AI.

4
Professional
Certifications
5
ADBOK
Knowledge Domains
3
Partnership
Sectors
AI Data Professional Pathway
AAP
AAP
Associate AI Data Professional
Data Annotator · Rater · Labeling Specialist
Foundation
CAP
CAP
Certified Annotation Professional
Senior Annotator · Quality Reviewer
Practitioner
CADE
CADE
Certified AI Data Evaluator
AI Evaluator · Model Tester · HITL Specialist
Evaluation
CADO
CADO
Certified AI Data Operations Pro
Operations Manager · Production Lead
Leadership
🔗 All certifications aligned to the ADBOK Framework
Recognized For
AI Data Standards Authority
Government Workforce Programs
University Curriculum Alignment
AI Platform Partnerships
Human-in-the-Loop Expertise
The Problem We Solve

AI is Only as Good as
its Training Data

The humans who build and evaluate AI training data are the invisible backbone of modern AI — yet their work has had no global standard. Until now.

Unstructured Data Work
AI training workflows are built on human judgment — but without standardized practices, annotation quality varies wildly across vendors, projects, and geographies.
ADBOK establishes shared terminology, workflows, and quality benchmarks for AI data professionals worldwide.
📉
Inconsistent Model Outcomes
Without standardized evaluation processes, AI systems produce unpredictable, unreliable outputs — eroding trust in products and creating real-world risk.
ADBOK certifications ensure evaluators apply consistent, auditable judgment to AI model outputs at every stage.
🌐
Growing Global Trust Gap
When data work is unstructured, the effects flow directly into AI systems — amplifying bias, reducing accuracy, and failing the people these systems are meant to serve.
Our certification pathway creates a globally credentialed AI data workforce that organizations can trust.
Certifications

The AI Data Professional
Career Ladder

Competency-based certifications that map directly to real roles in AI production environments — from entry annotator to operations leader.

View All Certifications →
Foundation · Entry Level
AAP
Associate AI Data Professional
🎯 Data Annotator · Rater · Labeling Specialist
  • Basic ML concepts & terminology
  • Annotation & labeling techniques
  • Instruction adherence & task interpretation
  • Data handling & confidentiality
  • Quality awareness fundamentals
Learn More →
Practitioner · Independent Contributor
CAP
Certified Annotation Professional
🎯 Senior Annotator · Quality Reviewer
  • Advanced guideline interpretation
  • Complex & ambiguous labeling tasks
  • Edge-case handling & escalation
  • Quality calibration & peer review
  • Productivity & accuracy optimization
Learn More →
Evaluation · Advanced Practitioner
CADE
Certified AI Data Evaluator
🎯 AI Evaluator · Model Tester · HITL Specialist
  • Response correctness evaluation
  • Prompt testing & ranking judgment
  • Hallucination & bias identification
  • RLHF & human feedback pipelines
  • Generative & conversational AI testing
Learn More →
Operations · Team Leadership
CADO
Certified AI Data Operations Professional
🎯 Project Lead · Production Manager
  • Workflow design & task allocation
  • Performance metrics & monitoring
  • Quality assurance at scale
  • Throughput & pipeline management
  • Team training & coaching
Learn More →
The Framework

The ADBOK
Knowledge Domains

The Artificial Intelligence Data Body of Knowledge organizes professional competency into five core domains — the shared language and practice standards for every AI data professional.

ADBOK establishes shared terminology, certification pathways, annotation workflow standards, evaluation benchmarking methodologies, and ethical governance — providing the global reference framework for AI data operations.

Explore ADBOK → Download Framework PDF
Domain 01
Terminology Standards
Standardized vocabulary and tagging conventions for all AI data operations
Domain 02
Annotation Workflows
Specialized frameworks for data labeling, instruction design, and task execution
Domain 03
Evaluation & Benchmarking
Methodologies for measuring annotation quality, model output evaluation, and benchmarking
Domain 04
Quality Assurance
Frameworks to ensure consistency, accuracy, coverage, and audit readiness at scale
Domain 05
Ethics & Responsible AI
Guidance for ethical human-in-the-loop practices, bias mitigation, and regulatory compliance
Domain 06
Operations & Governance
Workflow management, throughput optimization, and program oversight at the organizational level
ADBOK Governance Layer
Cross-domain standards for workforce credentialing, audit, and program oversight
Who We Serve

Built for the AI Data
Workforce Ecosystem

IntelliScan serves every stakeholder in the AI training data economy — from the individual professional earning credentials to the enterprise that needs certified talent.

👤
Individual Professionals
AI Data Practitioners
Annotators, evaluators, data engineers, and operations managers who want globally recognized credentials that verify their expertise and advance their careers in the AI data industry.
Annotators Evaluators Ops Managers QA Leads
🏢
Organizations
AI Data Companies & Platforms
Data labeling companies, AI training platforms, and enterprise AI teams that need certified, audit-ready workforces and standardized quality management frameworks across their operations.
BPOs AI Platforms Enterprise AI Vendors
🎓
Institutions
Governments & Universities
National workforce programs, academic institutions, and government agencies building AI-ready talent pipelines that align with global standards and support responsible AI development.
Workforce Agencies Universities Training Orgs
Global Partnerships

Building the AI Data
Ecosystem Together

We work with governments, universities, and AI platforms to build the credentialed global workforce that responsible AI development requires.

🏛️
Government
National Workforce Programs
Partner with IntelliScan to align national AI workforce development initiatives with globally recognized ADBOK standards — creating certified, audit-ready AI data talent at scale.
Partner with us →
🎓
Universities
Curriculum Alignment Programs
Integrate ADBOK-aligned curriculum into degree and certificate programs, giving students industry-recognized credentials that open doors in the growing AI data profession.
Explore academic partnership →
🤖
AI Platforms
Human-in-the-Loop Pipelines
Connect your AI training programs to a certified, standards-compliant workforce. IntelliScan partners verify that HITL professionals meet ADBOK competency benchmarks before deployment.
Explore platform partnership →
Get Started

Ready to Set the Standard
for Your AI Data Work?

Join the growing global community of ADBOK-certified professionals — the credentialed workforce that AI organizations trust.