Senior Data Associate with German Part-Time FTC, AGI-Data Services

Evi Technologies Limited; Hartford; On-site; GBP 80,000 - 100,000; Part time

Job summary

A technology company in the United Kingdom is seeking a part-time ML Data Associate. The role involves delivering high-quality labeled data across various formats and maintaining strict confidentiality. Ideal candidates should possess strong fluency in German, excellent business writing skills, and a keen eye for detail. This is an opportunity to contribute to transformative AI projects in a diverse team environment.

Qualifications

• An Associate's Degree or related work experience.
• Fluency in German (CEFR C1+) and English (CEFR B2+).
• Strong business writing skills and attention to detail.

Responsibilities

• Maintain confidentiality while working with various data types.
• Deliver high-quality labeled data meeting KPIs.
• Analyze and enhance labeling tasks and outputs.

Skills

Fluency in German (CEFR C1+)

Business writing skills

Analytical thinking

Attention to detail

Education

Associate's Degree or related work experience

Bachelor's degree in relevant field

Tools

Microsoft Office Suite

Job description

Note: This position is for part‑time employment.

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. Come build the future of human‑technology interaction with us.

Key job responsibilities

• Maintain and follow strict confidentiality as customer privacy is our most important tenet.
• Work with a range of different types of data, including, but not limited to, text, speech, audio, image, and video.
• Deliver high‑quality labelled data using the guidelines provided to meet our KPIs and with in‑house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
• Demonstrate proficiency in generating high‑quality human insight data across modalities: text, image, video, and audio.
• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
• Eye for detail and ability to pivot from one category of requirement to another instantaneously.
• Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team.
• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
• Responsible for identifying day‑to‑day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations.
• Demonstrate ownership in floor support to clarify internal queries during execution on a need‑basis.

A day in the life

We are looking for a ML Data Associate (MLDA) to undertake foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multi‑task and your high attention to detail helps you deliver high‑quality work while maintaining strict confidentiality and following all applicable Amazon policies for securing confidential information. You will be part of a diverse team with a shared vision of improving customers' lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

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.
• Advanced reading comprehension with ability to analyze complex business documents.
• Developed analytical thinking and structured problem‑solving capabilities.
• Strong ability to interpret and implement detailed instructions across various projects.
• Proficient research skills with experience gathering and synthesizing information from multiple sources.
• Proven attention to detail in managing complex tasks and documents.

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.
• 2-3 years project coordination or management experience (for support functions teams).
• Experience managing stakeholder relationships across departments.
• Advanced proficiency in Microsoft Office Suite and common business applications.

Amazon is an equal‑opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.