Labeling Data and Quality Analyst
Core
Audit and validate labeling annotation data for accuracy, consistency, and guideline adherence while driving process improvements.
Role type
Data Quality Analyst (Labeling)
Builds
Labeled datasets for AI/ML models
Domain
FMCG, Pharma, Healthcare
Deliverable
production ML models
Required skills
data analytics, root-cause analysis, quality assurance, PowerBI, Python, data modeling, ETL, data engineering
Preferred skills
AI data preprocessing, building agents, Power Platform, labeling annotation tools
Responsibilities
Audit and validate labeling annotation data for accuracy, consistency, and guideline adherence; Identify, document, and report errors and root cause triggers; Monitor quality KPIs and drive monthly governance cycles; Translate data trends into actionable process improvement plans; Ensure compliance with regulatory and safety requirements; Lead NC Program
