Total 14 jobs offered by "TELUS Digital AI"

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. KEY RESPONSIBILITIES 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 ...

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. KEY RESPONSIBILITIES 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 ...

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. KEY RESPONSIBILITIES 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 ...

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. KEY RESPONSIBILITIES 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 ...