Guides & Playbooks
Practical resources to help you build better annotation pipelines and training data workflows.
Training Data Quality Playbook
A comprehensive guide to building QA systems, managing annotator consistency, and reducing rework.
PDF 24 pages Download >Annotation Project Kickoff Checklist
Everything you need before starting an annotation project — from guidelines to acceptance criteria.
PDF 8 pages Download >LLM Data Collection Best Practices
How to build instruction datasets, RLHF comparisons, and safety labels for large language models.
PDF 18 pages Download >QA Audit Checklist
A step-by-step checklist for auditing your annotation pipeline’s quality controls.
PDF 6 pages Download >Ready to Build Better Training Data?
Talk to our team about your annotation needs, quality requirements, and timelines.
