At a Glance
- Tasks: Label and analyse diverse data types to enhance AI technology.
- Company: Join Amazon, a leader in generative AI and innovation.
- Benefits: Competitive salary, dynamic work environment, and career growth opportunities.
- Why this job: Be part of a team shaping the future of human-technology interaction.
- Qualifications: Fluent in French and English, analytical skills, and attention to detail.
- Other info: Collaborative office culture with regular training and events.
The predicted salary is between 36000 - 60000 £ 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- Associate's degree or above.
- Speak, write, and read fluently in French and English with respect to complex technical instructions and concepts.
- 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.
Senior Data Associate with French, Artificial General Intelligence in Cambridge employer: Evi Technologies Limited - C67
Contact Detail:
Evi Technologies Limited - C67 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate with French, Artificial General Intelligence in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Amazon. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for the interview by practising common questions related to data handling and AI. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Show off your passion for AI! During interviews, share your thoughts on the future of technology and how you see yourself contributing to it. This will demonstrate your enthusiasm and alignment with Amazon's vision.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Data Associate with French, Artificial General Intelligence in Cambridge
Some tips for your application 🫡
Show Off Your Language Skills: Since this role requires fluency in both French and English, make sure to highlight your language skills right at the start. Use clear and professional language, and don’t shy away from showcasing any relevant experiences where you’ve used these languages in a technical context.
Be Detail-Oriented: Attention to detail is key for this position. When writing your application, ensure that you proofread for any errors and present your information clearly. Use bullet points to make your qualifications stand out and easy to read.
Demonstrate Your Analytical Skills: The job calls for strong analytical thinking and problem-solving abilities. In your application, share specific examples of how you've tackled complex problems in the past. This will show us that you can handle the challenges that come with the role.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Evi Technologies Limited - C67
✨Know Your Data Inside Out
Make sure you’re familiar with different types of data, especially text, speech, audio, image, and video. Brush up on how these modalities are used in AI and be ready to discuss your experience with them. This will show that you understand the core responsibilities of the role.
✨Master Your French and English
Since fluency in both languages is crucial, practice discussing complex technical concepts in both French and English. You might be asked to explain something in one language and then switch to the other, so being comfortable in both will give you a significant edge.
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous situations or solved complex problems in the past. Highlight your analytical thinking and structured problem-solving capabilities, as these are key for the role. Use the STAR method (Situation, Task, Action, Result) to frame your answers.
✨Demonstrate Attention to Detail
Be ready to discuss how you ensure high-quality work and maintain confidentiality. Bring examples of how you’ve managed complex tasks and documents in the past, and be specific about the processes you followed to achieve accuracy and quality in your work.