Senior Data Associate with German, AGI Data Services

Amazon; Województwo pomorskie; On-site; PLN 50,000 - 70,000; Full time

Job summary

A leading technology company in Poland is seeking a Senior Data Associate fluent in German. The role involves maintaining data integrity, analyzing quality issues, and delivering high-quality labeled data. Candidates should have strong analytical skills and a degree or relevant experience. This position requires attention to detail and the ability to work under pressure. Competitive compensation and a collaborative work environment are part of this opportunity.

Qualifications

• CEFR C1+ fluency in German and B2+ in English.
• 2+ years of professional work experience is preferred.
• Ability to adapt to fast-paced environments.

Responsibilities

• Deliver high-quality labelled data using in-house tools.
• Analyze root causes and identify error patterns.
• Maintain confidentiality of customer data.

Skills

Proficiency in German language

Analytical thinking

Attention to detail

Strong business writing skills

Problem-solving capabilities

Education

Associate’s Degree or related work experience

Bachelor’s degree in a relevant field

Job description

Senior Data Associate with German, AGI Data Services

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses.

We are looking for candidates who can think out of the box and make a positive impact. The future is now, and we want you to be a part of it.

Key Responsibilities

• Maintain and follow strict confidentiality as customer privacy is our most important tenet
• Work with a range of different types of data, including text, speech, audio, image, and video
• Deliver high-quality labelled data using guidelines provided to meet our KPIs and using in-house tools and software
• Demonstrate proficiency in generating high-quality human insight data across a range of modalities
• Make sound judgments and logical decisions when faced with ambiguous or incomplete information
• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs

A Day in the Life

We are looking for a ML Data Associate to undertake foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi-task, and pay attention to detail helps you deliver high-quality work while maintaining strict confidentiality.

About the Team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible.

Basic Qualifications

• An Associate’s Degree or related work experience
• CEFR C1+ or equivalent fluency in German language
• Written and spoken knowledge of English is essential (CEFR B2+)
• Strong business writing skills with ability to create reports, proposals, and professional correspondence
• Developed analytical thinking and structured problem-solving capabilities

Preferred Qualifications

• Bachelor’s degree in a relevant field
• 2+ years of professional work experience with demonstrated task execution ability
• Proven capacity to leverage open-source resources effectively for comprehensive research purposes
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.