Quality Analyst

We are looking for an experienced QA Analyst to lead quality assurance efforts across data annotation and data collection projects. This role requires someone with a strong eye for detail, excellent logical and analytical skills, and deep experience in QA workflows for structured and unstructured data. The ideal candidate has 5+ years of hands-on QA experience, preferably within annotation, labeling, or data operations environments, and is comfortable working in fast-paced, high-quality delivery settings.

Key Responsibilities

• Perform end-to-end quality assurance for data annotation and data collection projects
• Define, implement, and enforce quality standards, guidelines, and QA processes
• Review annotated and collected data for accuracy, consistency, and completeness
• Identify error patterns and root causes; recommend corrective and preventive actions
• Work closely with project managers, annotators, and operations teams to improve quality metrics
• Track and report quality KPIs, accuracy scores, and defect trends
• Create and maintain QA documentation, checklists, and audit reports
• Support continuous improvement initiatives to enhance data quality and operational efficienc

Required Qualifications & Skills

• 5+ years of experience in Quality Assurance, preferably in:
  • Data annotation
  • Data labeling
  • Data collection projects
• Strong analytical, logical, and problem-solving skills
• High attention to detail with the ability to spot inconsistencies and anomalies in data
• Proficiency in Microsoft Excel (filters, formulas, pivots, data analysis)
• Excellent written and spoken English communication skills
• Ability to work independently and make quality driven decisions
• Comfortable working with large datasets and tight quality requirements.

Preferred Qualifications

• Prior experience working on AI/ML data projects
• Experience handling QA for large-scale or multi-vendor data operations
• Familiarity with quality metrics, sampling techniques, and audit frameworks