We are seeking a Data Quality Specialist responsible for ensuring the quality of data annotation, refining scoring rubrics, and driving process improvements. The role involves conducting data reviews, managing quality assessments, and ensuring that project workflows consistently meet high-quality standards. - Assign quality scores to data, monitor workflow performance through metric analysis, identify gaps, categorize errors, and conduct trend analysis against project objectives. - Conduct trial runs of data annotation protocols to gain proficiency in tools and quality assurance practices. - Develop and continuously update data annotation procedures and guidelines to ensure compliance and consistency. - Collaborate with clients to resolve challenges, propose workflow improvements, and enhance processes. - Conduct training sessions and calibration meetings to maintain consistent annotation quality and ensure clear understanding of processes. - Perform quality assessments, create and validate scoring rubrics, evaluate annotated data to ensure alignment with quality standards, and conduct statistical analysis of performance metrics to drive continuous improvement. - Handle inquiries from PgMs, clarify labeling guidelines, and resolve questions about training content. - Participate in weekly meetings with clients to monitor progress, generate data quality reports, analyze performance trends, and recommend actionable improvements to ensure project alignment.