At a Glance
- Tasks: Label and evaluate data to enhance AI performance, ensuring high-quality outputs.
- Company: Join Amazon, a leader in AI innovation and technology transformation.
- Benefits: Competitive salary, diverse team environment, and opportunities for professional growth.
- Other info: Dynamic office environment with regular training and team events.
- Why this job: Be part of shaping the future of human-technology interaction with cutting-edge AI.
- Qualifications: Fluency in German and English, strong analytical skills, and attention to detail.
The predicted salary is between 30000 - 40000 £ 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 biggest tenet.
- Work with a range of different types of data including but not limited to text, speech, image, and video.
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software.
- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
- Ability to make logical decisions while performing tasks even when provided information is ambiguous.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team.
- Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions.
- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks.
- Responsible for identifying day-to-day process and operational issues in SOP, 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, to assess and improve Alexa’s performance in everyday situations. 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 to make huge strides in the world of technology and the way we use Artificial Intelligence. 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.
Qualifications:- CEFR C1+ or equivalent fluency in German and English language.
- 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.
- 2+ years of professional work 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.
- 2-3 years 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.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
AI Data Associate with German, Artificial General Intelligence in London employer: AI
Contact Detail:
AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Associate with German, Artificial General Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Amazon or in the AI field on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Amazon's AI projects. Show us you know your stuff about generative AI and how it’s changing the game. Bring examples of how you’ve tackled similar challenges in the past.
✨Tip Number 3
Practice makes perfect! Get a friend to do mock interviews with you. Focus on articulating your thought process clearly, especially when discussing complex data tasks or problem-solving scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and being part of the future of AI.
We think you need these skills to ace AI Data Associate with German, Artificial General Intelligence in London
Some tips for your application 🫡
Show Off Your Language Skills: Since we're looking for someone fluent in both German and English, make sure to highlight your language proficiency in your application. Use clear and professional language to demonstrate your writing skills, as this is key for the role.
Be Detail-Oriented: Attention to detail is crucial for this position. When you write your application, double-check for any grammatical errors or typos. This not only shows your commitment to quality but also reflects your ability to follow instructions meticulously.
Tailor Your Experience: Make sure to align your previous work experience with the responsibilities mentioned in the job description. Highlight any relevant projects or tasks that showcase your analytical thinking and problem-solving skills, especially in data handling.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it gives you a chance to explore more about us and what we stand for!
How to prepare for a job interview at AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of artificial intelligence and machine learning concepts. Familiarise yourself with the latest trends in generative AI and large language models, as this will show your passion for the field and your readiness to contribute.
✨Master the Details
Given the emphasis on attention to detail in the job description, practice articulating how you've successfully managed complex tasks in the past. Prepare examples that highlight your ability to pivot between different requirements and maintain high-quality work under pressure.
✨Showcase Your Language Skills
Since fluency in German and English is crucial, be ready to demonstrate your language proficiency during the interview. You might be asked to discuss technical topics or provide written examples, so practice speaking and writing about AI-related subjects in both languages.
✨Be a Problem Solver
Prepare to discuss how you've tackled ambiguous situations in previous roles. Think of specific instances where you identified issues and proposed solutions, as this aligns perfectly with the role's requirement for logical decision-making and structured problem-solving capabilities.