JD – Labelling Quality Analyst

Experience: 1–3 Years
Location: Bangalore
Job Summary

We are looking for a detail-oriented Labelling Quality Analyst to ensure the accuracy, consistency, and quality of labelling and annotation data. The role involves quality audits, root-cause analysis, KPI monitoring, quality governance, and driving process improvements across internal teams and agencies.

Must-Have Skills

1–3 years of experience in Quality Assurance, Data Analytics, Data Labelling, or Root-Cause Analysis.
Solid analytical and problem-solving skills with proficiency in Excel.
Experience in auditing and validating annotation/labeling data.
Ability to identify, document, and analyse quality issues and root causes.
Experience monitoring quality KPIs, RFT rates, and rework metrics.
Strong communication and stakeholder management skills.
High attention to detail and ability to work with cross-functional teams.

Good-to-Have Skills

Experience with AI data preprocessing.
Familiarity with data labelling and annotation tools/processes.




Experience in Power BI dashboard design and reporting.
Exposure to NC, Investigation, and CAPA processes.
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 report quality issues and root causes.
Monitor and analyse RFT, rework, and other quality KPIs.
Translate quality trends into actionable process improvement plans.
Drive monthly quality governance and performance reviews.
Lead the NC Program and support quality escalations and investigations.
Lead CAPA discussions and follow up on corrective actions.
Ensure adherence to regulatory and safety requirements throughout the labelling process.
Collaborate with internal teams and agencies to improve overall labelling quality and process performance.

Qualification

Bachelor’s degree in Business Analytics, Data Analytics, Enginee

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