Training Hub

Train to contribute at the highest level

Every module here is built around one goal: making your AI training contributions more precise, more valuable, and more impactful. Work through them at your own pace.

Foundation

AI Training Fundamentals

Understand how large language models learn, what makes training data high-quality, and where expert knowledge creates the most leverage.

01
How LLMs Learn from Human Feedback
25 min
02
Anatomy of a High-Quality Training Example
30 min
03
Common Annotation Errors and How to Avoid Them
20 min
04
Quality Rubrics Explained
15 min

Core Skills

Annotation & Evaluation Techniques

Master the structured methods used across domainXpert projects — from preference ranking to factual verification and chain-of-thought evaluation.

01
Preference Ranking: Principles and Practice
35 min
02
Factual Accuracy Verification in Domain Contexts
40 min
03
Evaluating Chain-of-Thought Reasoning
30 min
04
Writing Calibrated Expert Responses
45 min

Productivity

Work Optimization for Expert Contributors

Practical systems and habits to maximize your output quality and throughput — without sacrificing the depth that makes expert contributions valuable.

01
Structuring Your Annotation Sessions
20 min
02
Managing Cognitive Load on Complex Tasks
25 min
03
Building a Personal Quality Checklist
15 min
04
Time-Boxing and Deep Work for Annotation
20 min

Advanced

Domain-Specific Contribution Strategies

Tailored guidance for experts in high-stakes domains — medicine, law, science, and engineering — where precision and citation standards are non-negotiable.

01
Medical & Clinical Domain Standards
50 min
02
Legal Reasoning and Citation in AI Training
45 min
03
Scientific Rigor: Evidence Levels and Uncertainty
40 min
04
Engineering Precision: Specs, Tolerances, and Tradeoffs
40 min

Ready to put your training to work?

Apply to join the platform and start contributing to frontier AI models.