Resource Guide
QA & Quality Standards
How Neurvix maintains 95%+ accuracy across all annotation projects with multi-layer quality assurance.
The Neurvix QA Framework
Quality assurance isn't a final review step — it's embedded throughout every phase of our annotation pipeline. Our multi-layer QA framework catches errors early, identifies systematic issues, and continuously improves annotator calibration.
QA Layers
01
Calibration Pilot
2-5% pilot batch before full production. IAA measured, guidelines updated before scaling.
02
Automated Checks
Format validation, range checks, class consistency checks automated at submission time.
03
Peer Review
15% of all annotations reviewed by a second annotator for quality verification.
04
Senior Review
5% reviewed by a senior annotator or domain expert for edge case validation.
05
Spot Audit
Random sampling by QA lead for independent accuracy verification.
06
Accuracy Reports
Weekly accuracy reports per annotator, task type, and dataset segment with trend analysis.
Questions? Talk to Our Team
Our experts are ready to discuss your specific annotation and AI training needs.