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, 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: Bachelor's degree or equivalent experience, fluent in German and English.
The predicted salary is between 40000 - 50000 £ 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:- Bachelor's degree in a relevant field or equivalent work experience.
- CEFR C1+ or equivalent fluency in German language.
- Written and spoken knowledge of English is essential (CEFR B2+).
- 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.
- 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.
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.
Senior Data Associate with German, Artificial General Intelligence in London employer: AI
Amazon is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are encouraged to expand their horizons. With a strong commitment to diversity and inclusion, Amazon fosters a culture of collaboration and continuous learning, providing ample opportunities for professional growth and development. Located in a vibrant area, employees benefit from a supportive community and engaging company events that enhance both personal and professional experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Associate with German, Artificial General Intelligence in London
✨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 on what they're really looking for.
✨Tip Number 2
Prepare for the interview by diving deep into AI and ML topics. Brush up on your knowledge of data workflows and be ready to discuss how you can contribute to improving quality in labelling tasks.
✨Tip Number 3
Show off your attention to detail! During interviews, share examples of how you've tackled complex tasks and maintained high standards. This is key for the role, so make it shine!
✨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 Senior Data Associate with German, Artificial General Intelligence in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong business writing skills and analytical thinking in your application. We want to see how you can create reports and tackle complex documents, so don’t hold back!
Be Detail-Oriented:Attention to detail is key for this role. When you're filling out your application, double-check everything! We love candidates who can manage complex tasks without missing a beat.
Tailor Your Application:Don’t just send a generic application. Tailor it to the job description! Show us how your experience aligns with the responsibilities listed, especially around data workflows and confidentiality.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to see your application right away!
How to prepare for a job interview at AI
✨Know Your Data
Familiarise yourself with different types of data you'll be working with, like text, speech, and images. Brush up on your knowledge of Machine Learning workflows and be ready to discuss how you can contribute to high-quality data labelling.
✨Showcase Your Attention to Detail
Prepare examples that highlight your ability to manage complex tasks with precision. During the interview, emphasise your experience in maintaining confidentiality and following strict guidelines, as this is crucial for the role.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios where you need to make logical decisions with ambiguous information. Think of past experiences where you've identified issues and suggested improvements, as this will show your proactive approach.
✨Communicate Effectively in Both Languages
Since fluency in German and English is essential, practice discussing your experiences in both languages. Prepare to answer questions in German to demonstrate your proficiency, and don’t forget to showcase your strong business writing skills.
