Quality Analyst

Shaip Ai Data (india); Ahmedabad District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Shaip Ai Data (india) is seeking an experienced QA Analyst to lead quality assurance across data annotation and data collection projects. You will define standards, review data for accuracy, and drive process improvements in a fast-paced, high-quality delivery environment.

The ideal candidate has 5+ years in QA, with strong analytical and communication skills, and a proven track record of working with large datasets and data operations.

Qualifications

• 5+ years of hands-on QA experience in data-focused environments.
• Experience with data annotation, labeling, and data collection projects.
• Strong analytical, logical, and problem-solving skills.
• Excellent attention to detail and ability to spot inconsistencies in data.

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 efficiency.

Skills

Data annotation

Data labeling

Data collection projects

Strong analytical skills

Attention to detail

Excel proficiency

English communication

Independent work

Large datasets

Tools

Microsoft Excel

Job description

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
• 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