JD – Labeling Quality Analyst

Experience: 1–3 Years

Location: Bangalore

Work Mode: Onsite

Job Summary
We are looking for a detail-oriented Labeling Quality Analyst to ensure the accuracy, consistency, and quality of labeling and annotation data. The role will involve quality audits, root-cause analysis, KPI monitoring, quality governance, regulatory and safety compliance, and driving continuous process improvements across internal teams and external agencies.

Must-Have Skills
1–3 years of experience in Data Analytics, Quality Assurance, Data Labeling, or Root-Cause Analysis.
Relevant experience in FMCG, Pharma, or Healthcare domains is required.
Experience working with APAC and/or EMEA markets.
Experience in auditing and validating labelling/annotation data for accuracy, consistency, and guideline adherence.
Solid analytical and problem-solving skills with proficiency in Excel.
Ability to identify, document, analyze, and report quality issues and root causes.
Experience monitoring quality KPIs, Right First Time (RFT) rates, rework metrics, and quality trends.




Familiarity with data labeling and annotation tools/processes.
Exposure to NC (Non-Conformance), Investigation (INV), and CAPA processes.
Strong communication and stakeholder management skills.
Good-to-Have Skills

Experience with AI data preprocessing.
Experience with Power BI dashboard design and reporting.
Experience with quality governance and continuous improvement initiatives.

Key Responsibilities
Audit and validate labeling/annotation data for accuracy, consistency, and guideline adherence.
Identify, document, and analyze quality issues and root causes.
Monitor RFT, rework, and other quality KPIs and report trends.
Drive monthly quality governance and performance reviews.
Convert quality trends into process improvement actions across teams and agencies.
Lead the NC Program and support quality escalations and investigations.
Lead CAPA discussions and track corrective/preventive actions.
Ensure adhe

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