Data Quality Specialist (m/f/d)

Data Quality Specialist (m/f/d)

Wuppertal Vollzeit 36000 - 60000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Ensure data quality, conduct reviews, and improve processes in a dynamic AI environment.
  • Arbeitgeber: Join TELUS Digital AI Data Solutions, enhancing AI models with a vibrant global community.
  • Mitarbeitervorteile: Enjoy flexible work-from-home options, night shift compensation, free snacks, and exclusive discounts.
  • Warum dieser Job: Be part of a mission-driven team improving technology while enjoying a fun and collaborative culture.
  • Gewünschte Qualifikationen: C2 proficiency in German, Italian, or Spanish; B2 in English; auditing experience required.
  • Andere Informationen: Work from our Essen office, Monday to Friday, with transportation assistance provided after shifts.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

About us TELUS Digital AI Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities and Onsite jobs in many regions for people with a passion for languages. We have both part-time jobs with no fixed schedule and onsite full-time jobs. Whoever you are, wherever you come from, come join our global AI Community. www.telusdigital.com Tasks 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. PROJECT OVERVIEW Work style: work from office in Essen city center Working days: Monday – Friday Working time: 18:00 – 2:30 AM Transportation assistance provided after shift Project duration: 6 months 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. Profile REQUIREMENTS Min. C2 proficiency in German or Italian or Spanish Min. B2 proficiency in English Previous experience in auditing is required Must be comfortable learning and applying various quality assurance methodologies, including multi-review, golden set, and manual review Ability to understand and differentiate between precision, accuracy, and recall as they pertain to quality assurance processes Advanced Google Workspace skills Awareness of ethical considerations in AI, especially in advertising Strong ability to resolve conflicts and foster collaboration within global cross-functional teams. Strong communication skills for explaining evaluations, proposing solutions, and providing process insights Detail-oriented with a deep understanding of annotation guidelines, ensuring accuracy and consistency in AI data EXPERIENCE At least 1 year of experience in roles such as Statistics, Machine Learning, Marketing, Reporting, Quality Assurance, or related fields. Previous experience in quality control, with a strong understanding of data labeling, annotation, and evaluation methodologies. We offer Welcome to AI Bonus! Transportation from the shift organized! Night shift compensation! Free snacks and drinks Exclusive employee discounts Fun floor: Nintendo Switch, Playstation, football table or pool table \“Room of Silence\“ – separate prayer rooms for man and women Employee Events Referral Bonuses Online Assistance Program

Data Quality Specialist (m/f/d) Arbeitgeber: TELUS Digital AI Data Solutions

At TELUS Digital AI Data Solutions, we pride ourselves on being an exceptional employer that values diversity and fosters a vibrant work culture. Our flexible work-from-home options and onsite roles in the heart of Essen allow for a balanced lifestyle while contributing to meaningful AI advancements. With opportunities for professional growth, engaging employee events, and unique perks like transportation assistance and a fun workspace, we invite you to join our global AI Community and make a difference.
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Kontaktperson:

TELUS Digital AI Data Solutions HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Data Quality Specialist (m/f/d)

✨Tip Number 1

Familiarize yourself with various quality assurance methodologies that are relevant to the role. Understanding concepts like multi-review and golden set will give you an edge during interviews, as you'll be able to discuss how these methods can enhance data quality.

✨Tip Number 2

Brush up on your statistical analysis skills, especially in relation to performance metrics. Being able to analyze trends and propose actionable improvements will demonstrate your capability to drive continuous improvement in data quality.

✨Tip Number 3

Engage with the AI community online or through local meetups. Networking with professionals in the field can provide insights into best practices and may even lead to referrals for the Data Quality Specialist position.

✨Tip Number 4

Prepare to discuss your previous experience in auditing and quality control during the interview. Be ready to share specific examples of how you've ensured accuracy and consistency in past roles, as this will highlight your suitability for the position.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Quality Specialist (m/f/d)

Data Annotation
Quality Assurance Methodologies
Statistical Analysis
Metric Analysis
Error Categorization
Process Improvement
Training and Calibration
Conflict Resolution
Collaboration Skills
Attention to Detail
Google Workspace Proficiency
Understanding of Precision, Accuracy, and Recall
Communication Skills
Ethical Considerations in AI

Tipps für deine Bewerbung 🫡

Understand the Role: Take the time to thoroughly read the job description for the Data Quality Specialist position. Understand the key responsibilities and requirements, especially the importance of quality assurance methodologies and data annotation.

Highlight Relevant Experience: In your application, emphasize any previous experience in auditing, quality control, or roles related to statistics and machine learning. Make sure to showcase your familiarity with data labeling and annotation processes.

Showcase Language Proficiency: Since the role requires high proficiency in German, Italian, or Spanish, along with a good command of English, be sure to clearly state your language skills in your CV and cover letter. Provide examples of how you've used these languages in a professional context.

Tailor Your Application: Customize your CV and cover letter to reflect the specific skills and experiences that align with the job description. Use keywords from the job posting to demonstrate that you are a perfect fit for the Data Quality Specialist role.

Wie du dich auf ein Vorstellungsgespräch bei TELUS Digital AI Data Solutions vorbereitest

✨Showcase Your Language Proficiency

Since the role requires a minimum C2 proficiency in German, Italian, or Spanish, make sure to highlight your language skills during the interview. Be prepared to demonstrate your fluency and discuss how you have used these languages in previous roles.

✨Discuss Your Quality Assurance Experience

Emphasize your previous experience in auditing and quality control. Be ready to provide specific examples of how you've applied various quality assurance methodologies and how they contributed to improving data quality in past projects.

✨Prepare for Technical Questions

Expect questions related to data annotation, scoring rubrics, and statistical analysis. Brush up on your knowledge of precision, accuracy, and recall, as well as your familiarity with Google Workspace tools, to confidently answer technical queries.

✨Demonstrate Your Collaboration Skills

The role involves working with cross-functional teams and clients. Share examples of how you've successfully resolved conflicts and fostered collaboration in previous positions, showcasing your strong communication skills and ability to work in diverse environments.

Data Quality Specialist (m/f/d)
TELUS Digital AI Data Solutions
T
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