At a Glance
- Tasks: Label and analyse diverse data types to enhance AI technology.
- Company: Join Amazon, a leader in generative AI innovation.
- Benefits: Competitive pay, career growth, and a vibrant team culture.
- Why this job: Be part of shaping the future of human-technology interaction.
- Qualifications: Fluent in French and English, with strong analytical skills.
- Other info: Dynamic office environment with regular training and team events.
The predicted salary is between 30000 - 42000 £ per year.
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.
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 teamThe 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.
- 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.
AI Data Associate - French, Artificial General Intelligence in London employer: Evi Technologies Limited - C67
Contact Detail:
Evi Technologies Limited - C67 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Associate - French, Artificial General Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and data handling. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio or a project that highlights your experience with data labelling or AI technologies. This will give you an edge and demonstrate your hands-on abilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Data Associate - French, Artificial General Intelligence in London
Some tips for your application 🫡
Show Off Your Language Skills: Since we're looking for someone with strong French and English skills, make sure to highlight your proficiency in both languages. Use clear and professional language in your application to demonstrate your business writing skills.
Be Detail-Oriented: Attention to detail is key for this role. When you write your application, double-check for any typos or errors. Show us that you can manage complex tasks by presenting a polished and well-structured application.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific responsibilities and qualifications mentioned in the job description. This shows us that you’re genuinely interested in the role and understand what we’re looking for.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Evi Technologies Limited - C67
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially generative AI and large language models. Familiarise yourself with how these technologies are being used in various industries, including Amazon's approach. This will show your passion and understanding of the field.
✨Show Off Your Language Skills
Since fluency in French is a must, practice speaking and writing in French before the interview. Be ready to demonstrate your language skills during the conversation. You might even want to prepare a few examples of your work in both French and English to showcase your proficiency.
✨Attention to Detail is Key
Given the role's focus on high-quality data labelling, be prepared to discuss how you ensure accuracy in your work. Bring examples of past projects where your attention to detail made a difference. This will highlight your ability to meet the job's requirements.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you've had to make sound judgments or adapt to changing circumstances. Practising these responses will help you feel more confident during the interview.