QA Engineer

• Perform quality audits on annotated datasets to ensure that they meet established guidelines and quality benchmarks.
• Leverage statistical based quality metrics such as F1 score and inter-annotator agreement to evaluate data quality.
• Analyse annotation errors, trends, project processes, and project documentation to identify and understand the root cause of errors and propose remediation strategies.
• Resolve and analyse edge-case annotations to ensure quality and identify areas for improvement.
• Become proficient in using annotation and quality control tools to perform reviews and track quality metrics.
• Become an expert in the project specific guidelines and provide feedback for potential clarifications or improvements.
• Identify opportunities to use automation to help enhance analytics, provide deeper insights, and improve efficiency.
• Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures.
• Provide regular feedback that identifies areas for improvement across the annotation pipeline.
• Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines.
• Assist with training annotators, providing guidance, feedback, and support to ensure data quality.
• Provide regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements.

QA Engineering Analyst

QA Solutions Architect

QA Automation – Core Payments

QA Mid

Senior Data Quality Engineer