Get certified in AI evaluation
AI evals are structured assessments of AI model outputs. This program trains you to run them well: rubric scoring, RLHF workflows, and quality judgment, verified by a proctored, ID-checked exam.
What AI evals are
Evals is the practitioner term for AI evaluation: systematically judging model outputs against criteria, at consistent quality.
AI evals
Structured assessments of AI model outputs: scoring responses against rubrics for accuracy, helpfulness, safety, and instruction following.
AI evaluation work
The human side of model improvement. Evaluators produce the preference data and quality signals that RLHF and fine-tuning depend on.
The evaluator role
A detail-oriented, remote-friendly role on evaluation platforms and research teams. No coding background required to start.
New to the terminology? Start with the glossary entries for AI evals, RLHF and LLM-as-a-judge, or read what an AI evaluator certification is.
What the certification covers
39 modules across two levels, built from real evaluation work.
Evaluation fundamentals
How AI training works, what RLHF actually asks of a human rater, and the mental models behind consistent quality judgment.
Rubric design and calibration
Applying rubrics the way platforms expect: dimension by dimension, with clear written justifications and calibrated scores.
Modality-specific assessment
Evaluating text, code, image, and conversational outputs, each with its own failure modes and quality dimensions.
Safety and edge cases
Handling safety-sensitive prompts, hallucination detection, red teaming basics, and the cases where dimensions conflict.
Not another generic AI certificate
The difference is specificity and integrity, not a bigger promise.
Built for evaluation, not AI literacy
Most AI certificates cover broad AI concepts. This program trains the specific craft of evaluating model outputs to a professional standard.
Proctored and identity-verified
Every certificate is earned through a proctored final exam tied to a verified ID, and anyone can check a certificate by its code.
Independent
Annotation Academy is not affiliated with any evaluation platform or AI lab, so the credential carries no conflict of interest.
Common questions
Straight answers about AI evaluation certification.
What is an AI evaluation certification?
A credential that verifies you can evaluate AI model outputs to a professional standard: applying rubrics consistently, writing clear justifications, and handling safety-sensitive cases. Ours is earned through structured coursework and a proctored, ID-verified final exam.
Is an AI evaluation certification worth it?
It depends on what you need it to do. Evaluation platforms screen for demonstrated skill, and a verifiable credential is one way to show it. We are precise about our claims: the certificate proves you passed a proctored exam with a verified ID. It does not guarantee work or earnings.
What does an AI evaluator do?
AI evaluators review and score AI-generated responses across dimensions like accuracy, helpfulness, safety, and instruction following. Their judgments feed RLHF and quality pipelines at leading AI companies.
How do I become an AI evaluator?
Most people start with strong reading and writing skills, learn the evaluation fundamentals, and then apply to evaluation platforms. Level 1 covers those fundamentals across 24 modules, and your first module is free.
Do AI evals require coding?
No. Most evaluation work is judgment work: reading, scoring, and justifying. Technical tracks exist for those who want them, but the core skill set is careful reading, rubric application, and clear written reasoning.
Start with a free module.
Experience the course before you pay. No credit card required to start.