Senior French Data Labeling Associate for AI

Amazon; Greater London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading technology company seeks a Machine Learning Data Associate in Greater London. This role involves delivering high-quality labeled data, maintaining customer confidentiality, and performing data analysis across multi-modal data types. Ideal candidates should possess an Associate's Degree, fluency in French and English, and strong business writing skills. The position emphasizes attention to detail and analytical thinking in a diverse team environment, with regular meetings and training opportunities.

Qualifications

• An Associate's Degree or related work experience is essential.
• CEFR C1+ or equivalent fluency in French language is required.
• Strong business writing skills with ability to create reports and proposals are necessary.
• Advanced reading comprehension with ability to analyze complex business documents is expected.
• Proven attention to detail in managing complex tasks and documents is crucial.

Responsibilities

• Maintain and follow strict confidentiality as customer privacy is paramount.
• Deliver high-quality labelled data using provided guidelines.
• Demonstrate proficiency in generating high quality human insight data across various modalities.
• Analyze root causes and propose solutions for quality enhancement.

Skills

Attention to detail

Analytical thinking

Business writing

Fluency in French

Research skills

Education

Associate's Degree

Bachelor's degree in a relevant field

Tools

Microsoft Office Suite

Job description

A leading technology company seeks a Machine Learning Data Associate in Greater London. This role involves delivering high-quality labeled data, maintaining customer confidentiality, and performing data analysis across multi-modal data types. Ideal candidates should possess an Associate's Degree, fluency in French and English, and strong business writing skills. The position emphasizes attention to detail and analytical thinking in a diverse team environment, with regular meetings and training opportunities.