ML Data Associate - French language

Overview

Amazon ML Data Associate – £140 per day PAYE – 5 days a week in the Barbican office – 6 months contract

We are looking for a candidates fluent in French 

Description

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.

We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!

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 guidelines provided to meet our KPIs and using 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 a range of modalities, inclusive of 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 need basis

A day in the life

We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.

Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.

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. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

Basic Qualifications

– An Associate’s Degree or related work experience
– CEFR C1+ or equivalent fluency in French 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

Preferred Qualifications

– Bachelor’s degree in a relevant field
– Proven 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
– Proven 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.