Quality assistant Jobs in Bochum
- Gesponsert
Data Quality Specialist with Italian
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Data Quality Manager (m / w / d) (Schwerpunkt Data Warehousing)
LowellEssen, DEData Quality Specialist with Italian
TELUS DigitalEssen, North-Rhine-Westphalia, Germany- Vollzeit
Description and Requirements
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 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.
REQUIREMENTS
PROJECT OVERVIEW
EXPERIENCE
WE OFFER
Ready to make an impact on AI technologies?
If this opportunity sounds appealing to you, apply now! Kindly attach your CV in English.
For any queries, feel free to reach out to [email protected]
About TELUS Digital AI Data Solutions
Creating and enhancing the world's data to enable better AI via human intelligence.
We strive to enhance the world's data to enable better AI through human intelligence. Our team of data, technology, and project management professionals work with companies to test and improve machine learning models. We handle various data types, including text, images, audio, video, and geo. Our solutions improve AI systems in multiple applications, such as advanced smart products, improved search results, expanded speech recognition, more human-like bot interactions, and more.
TELUS Digital values diversity and grants equal opportunity regardless of age, civil status, disability, gender, nationality, race, religion and political beliefs, sex or sexual orientation.
LI-DNI
Additional Job Description
TELUS Digital AI Data Solutions is looking for a Data Quality Specialist with Italian to work onsite in Essen, Germany.
Language Reference Italian
EEO Statement
At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.
Equal Opportunity Employer
At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.