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.

Explore Certifications View ADBOK Framework

Professional
Certifications

ADBOK
Knowledge Domains

Partnership
Sectors

AI Data Professional Pathway

AAP

Associate AI 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

Certified AI Data Operations Professional

Operations Manager · Production Lead

Leadership

🔗 All certifications aligned to the ADBOK Framework

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 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 → Explore AI Campus →

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

⬡

OFFICIAL PUBLICATIONS

Our Books Advance Your AI Data Knowledge

Explore official ADBOK® publications designed to support AI Data professionals, educators, and organizations with practical frameworks, standards, and implementation guidance.

EBOOK

ADBOK® GUIDE: Artificial Intelligence Data Body of Knowledge

ADBOK(R) Guide: Artificial Intelligence Data Body of Knowledge is the definitive professional standard for AI data...

EBOOK

Adbok(r) Companion Workbook: Exercises, Quizzes, Templates & Case Studies

The ADBOK(R) Companion Workbook is a practical, hands-on guide designed to help AI, data...

ADBOK® GUIDE - PAPERBACK

Adbok(r) Guide: Artificial Intelligence Data Body of Knowledge

ADBOK(R) Guide: Artificial Intelligence Data Body of Knowledge is the definitive professional standard for AI data...

ADBOK® GUIDE - HARDCOVER

Adbok(r) Guide: Artificial Intelligence Data Body of Knowledge

ADBOK(R) Guide: Artificial Intelligence Data Body of Knowledge is the definitive professional standard for AI data...

COMPANION WORKBOOK - PAPERBACK

Exercises, Quizzes, Templates & Case Studies

The ADBOK(R) Companion Workbook is a practical, hands-on guide designed to help AI, data...

COMPANION WORKBOOK - HARDCOVER

Exercises, Quizzes, Templates & Case Studies

The ADBOK(R) Companion Workbook is a practical, hands-on guide designed to help AI, data...

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 →

Where We're Building

Real partners.
Real work. Real numbers.

The institute is in its founding phase. Here is the work actually underway right now — concrete partnerships, named advisors, and an active global working group steering the ADBOK framework.

University Partners

In MOU discussion

Five universities across Nigeria, Ghana, and Kenya currently in active conversation about adopting the AI Campus curriculum.

ADBOK Working Group

Across five countries

Eight contributing members from the USA, Japan, Portugal, Nigeria, and Ghana jointly stewarding the AI Data Body of Knowledge.

NUC

Regulator Engagement

National Universities Commission

Engaged with Nigeria's National Universities Commission on aligning AI Campus to the NUC CCMAS curriculum framework.

↗

Industry Pilots

AI platforms & BPOs

Active discussions with AI platforms and Business Process Outsourcing firms on piloting ADBOK certification across their annotation and evaluation workforces.

The Global Standard for AI Data Operations

AI is Only as Good asits Training Data

The AI Data ProfessionalCareer Ladder

The ADBOKKnowledge Domains

Our Books Advance Your AI Data Knowledge

ADBOK® GUIDE: Artificial Intelligence Data Body of Knowledge

Adbok(r) Companion Workbook: Exercises, Quizzes, Templates & Case Studies

Adbok(r) Guide: Artificial Intelligence Data Body of Knowledge

Adbok(r) Guide: Artificial Intelligence Data Body of Knowledge

Exercises, Quizzes, Templates & Case Studies

Exercises, Quizzes, Templates & Case Studies

Built for the AI DataWorkforce Ecosystem

Building the AI DataEcosystem Together

Real partners.Real work. Real numbers.

Ready to Set the Standardfor Your AI Data Work?

The Global
Standard for
AI Data
Operations

AI is Only as Good as
its Training Data

The AI Data Professional
Career Ladder

The ADBOK
Knowledge Domains

Built for the AI Data
Workforce Ecosystem

Building the AI Data
Ecosystem Together

Real partners.
Real work. Real numbers.

Ready to Set the Standard
for Your AI Data Work?