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 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
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 relevant to data annotation. Understanding concepts like precision, accuracy, and recall will not only help you in the role but also impress during interviews.
✨Tip Number 2
Engage with online communities or forums related to AI and data quality. Networking with professionals in the field can provide insights into best practices and may even lead to referrals.
✨Tip Number 3
Brush up on your Google Workspace skills, especially in tools that facilitate data analysis and reporting. Being proficient in these tools will demonstrate your readiness for the role.
✨Tip Number 4
Prepare to discuss your previous auditing experience in detail. Be ready to share specific examples of how you've ensured quality in past projects, as this will showcase your expertise and fit for the position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Quality Specialist (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure 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 CV and cover letter, emphasize any previous experience in auditing, quality control, or roles related to statistics and machine learning. Be specific about your familiarity with data labeling and annotation processes.
Showcase Language Proficiency: Since the role requires high proficiency in German, Italian, or Spanish, along with English, make sure to clearly state your language skills. Provide examples of how you've used these languages in a professional context.
Tailor Your Application: Customize your application materials to reflect the values and mission of TELUS Digital AI Data Solutions. Mention your passion for languages and your interest in contributing to AI and machine learning models.
Wie du dich auf ein Vorstellungsgespräch bei TELUS Digital AI Data Solutions vorbereitest
✨Showcase Your Language Skills
Since the role requires a high 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 Quality Assurance Methodologies
Familiarize yourself with various quality assurance methodologies mentioned in the job description, such as multi-review and golden set. Be ready to discuss your experience with these methods and how they can be applied to ensure data quality.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to handle conflicts. Think of examples from your past experiences where you successfully resolved issues or improved processes.
✨Emphasize Detail Orientation
As a Data Quality Specialist, attention to detail is crucial. Prepare to discuss specific instances where your detail-oriented approach led to successful outcomes in data annotation or quality control.