AI Data Governance Specialist vs AI Data Labeling Specialist

B AI Data Labeling Specialist Only

• Annotation taxonomy design and guideline creation for complex labeling schemes
• Inter-annotator agreement measurement (Cohen's Kappa, Fleiss' Kappa, Krippendorff's Alpha)
• Quality assurance methodology including golden set validation and sampling-based review
• Domain-specific labeling for text, image, audio, video, and 3D sensor data modalities
• Python scripting for data manipulation, batch processing, and labeling automation
• Understanding of machine learning fundamentals including supervised learning, bias-variance tradeoff, and data leakage
• Prompt engineering for LLM-assisted annotation and AI-in-the-loop workflows
• Data versioning, lineage tracking, and reproducibility practices using tools like DVC or LakeFS