eCommerce Quality Analyst Trainer in Kraków

eCommerce Quality Analyst Trainer in Kraków

Kraków Stacjonarnie
T

The eCommerce Quality Analyst Trainer designs, delivers, and maintains training frameworks, onboarding programs, and centralized knowledge repositories across all operational quality and AI evaluation tracks. Operating within a dual-consensus model alongside operational leadership and technical co-trainers, the Trainer balances process logic with technical tool mechanics, leads edge-case calibration, and maintains active production participation to ensure team alignment and operational consistency.

Key Responsibilities

Instructional Design & Training Delivery: Design and deliver interactive onboarding, cross-training, and continuous skill development programs for quality analysts across all operational tracks.

Knowledge Base & SOP Governance: Develop and maintain centralized documentation, Standard Operating Procedures (SOPs), and project knowledge bases, incorporating visual examples and edge-case guidance.

Dual-Consensus & Guideline Alignment: Enforce a dual-consensus framework - ensuring process guideline updates are evaluated through both functional and technical/systems lenses prior to deployment.

Calibration & Query Resolution: Lead regular internal and cross-regional calibration sessions to establish consistent evaluation standards and manage daily query resolution channels.

Production Auditing & Active Delivery: Conduct website audits and data quality checks while maintaining active production output (~30-40% capacity) to sustain domain mastery and support team targets.

Project Measurement & Reporting: Measure training program effectiveness, maintain daily project trackers, manage emails across multiple accounts, and report performance metrics to leadership.

Collaborative Duties: Attend regular and ad-hoc meetings, and execute other duties as assigned by the leadership team.

2+ years experience in learning and development, instructional design, or operational training within tech, AI annotation, or e-commerce environments.

Candidate Background & Core Experience:

Domain Expertise: 2+ years of experience in e-commerce operations, online retail auditing, data collection, or digital catalog management.

AI & Content Evaluation: Prior experience evaluating Artificial Intelligence outputs (Large Language Models / LLMs) and multimodal digital assets (such as 2D/3D renders and video clips) for accuracy, quality, and policy compliance.

Quality Assurance & Policy Analysis: Demonstrated history of conducting data validation audits, performing quality assurance checks, and analyzing data discrepancies or policy violations to refine operational guidelines.

Technical Proficiency: Strong track record working with backend databases, storefront landing pages, and cross-checking complex pricing, promotional data, and inventory specifications.

High degree of expertise with Internet browsing, email management, G Suite / Microsoft Office applications, and e-learning/knowledge tools.

Fluency in English with exceptional presentation, facilitation, and interpersonal skills.

Experience facilitating structured calibration sessions and operating within dual-consensus evaluation frameworks.

Strong skill in translating complex technical guidelines into structured, accessible learning modules.

Ability to work independently, lead training initiatives, and collaborate effectively as part of a team.

Flexibility to time-zone overlaps as needed to support strict client service level agreements (SLAs) and cross-regional team handovers.

Bachelor’s Degree preferred (or equivalent combination of education, training, and experience).

Background check may be required.

WE OFFER

Fully onsite job opportunity in our office in Krakow, Poland

Multisport card

Private medical care

eCommerce Quality Analyst Trainer in Kraków – pracodawca: TELUS Digital AI Community

TELUS Digital AI Community oferuje pracownikom możliwość rozwoju zawodowego w dynamicznym środowisku, które stawia na jakość i bezpieczeństwo treści. Pracownicy mają szansę na zdobycie doświadczenia w moderacji treści oraz współpracy z różnymi zespołami, co sprzyja nauce i rozwojowi umiejętności. Dodatkowo, firma zapewnia stabilne zatrudnienie oraz atrakcyjne warunki pracy.

T

Dane kontaktowe:

Zespół rekrutacyjny TELUS Digital AI Community