AI content evaluation, ranking, and data labeling across legal/compliance/security domains
Conducted expert evaluation, ranking, and annotation of AI-generated content for legal, compliance, and security use cases using structured rubrics. Classified and scored complex documents by mapping them to multiple regulatory frameworks (ISO 27001, NIST CSF, SOC 2, GDPR, PCI-DSS) and performing consistency auditing across documents. Applied hallucination detection and fact-checking workflows to produce high-quality judgments on sensitive technical and policy content. • Risk severity classification and control effectiveness scoring • Multi-document alignment and inter-annotator agreement consistency review • Entity extraction, document segmentation, and intent/sentiment classification • Contract clause comparison, policy accuracy review, and regulatory gap analysis