ML Data Associate: Labeling & AI Data Workflows

Amazon; Greater London; On-site; GBP 26,000 - 38,000; Full time

Job summary

Evi Technologies Limited, on behalf of Amazon, is seeking an ML Data Associate to perform foundational labeling tasks across speech, text, image and video data to assess and improve Alexa’s everyday performance.

The role requires focus, the ability to multi‑task, strict confidentiality, and a strong eye for detail to deliver high‑quality labeled data that meets KPIs using in‑house tools, while following established SOPs.

Qualifications

• An Associate’s Degree or related work experience
• CEFR C1+ or equivalent fluency in Dutch language
• Written and spoken knowledge of English is essential (CEFR C1+)
• 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

Responsibilities

• Maintain confidentiality of customer data
• Label data across text, speech, image, and video to meet KPIs
• Serve as ML data workflows SME and improve labeling quality
• Research, rank, and create grammatically correct responses
• Support daily operations metrics and floor-level queries

Skills

Dutch language proficiency

English proficiency

Business writing

Analytical thinking

Research skills

Attention to detail

Education

Associate’s degree or equivalent experience

Bachelor’s degree

Tools

Microsoft Office Suite

Job description

Evi Technologies Limited, on behalf of Amazon, is seeking an ML Data Associate to perform foundational labeling tasks across speech, text, image and video data to assess and improve Alexa’s everyday performance.

The role requires focus, the ability to multi‑task, strict confidentiality, and a strong eye for detail to deliver high‑quality labeled data that meets KPIs using in‑house tools, while following established SOPs.