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.
- Why this job: Be part of shaping the future of human-technology interaction with cutting-edge AI.
- Qualifications: Fluent in German and English, with strong analytical and problem-solving skills.
- Other info: Dynamic office environment with regular training and team 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.
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:
- An Associate’s Degree or related 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.
- 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.
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 employer: Amazon Jobs
Contact Detail:
Amazon Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate with German, Artificial General Intelligence
✨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 large language models and be ready to discuss how you can contribute to the team’s goals. Show us you’re passionate about the tech!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to 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 our awesome team at Amazon.
We think you need these skills to ace Senior Data Associate with German, Artificial General Intelligence
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience and skills that match the job description. We want to see how you can contribute to our mission of transforming technology!
Show Off Your Language Skills: Since fluency in German is a must, don’t forget to showcase your language proficiency clearly. If you have any certifications or relevant experiences, include them to make your application stand out!
Be Detail-Oriented: Attention to detail is key for this role. When filling out your application, double-check for any typos or errors. We appreciate candidates who take the time to ensure their submissions are polished and professional.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Amazon Jobs
✨Know Your Data Inside Out
As a Senior Data Associate, you'll be working with various types of data. Brush up on your knowledge of text, speech, image, and video data. Familiarise yourself with the tools and software used in data labelling, as this will show your potential employer that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to discuss how you've tackled ambiguous situations in the past. Highlight your analytical thinking and structured problem-solving capabilities. Use specific examples to demonstrate how you’ve identified issues and implemented solutions in previous roles.
✨Demonstrate Attention to Detail
Attention to detail is crucial for this role. Bring examples of your work that showcase your ability to manage complex tasks accurately. You might even want to prepare a small task or two that illustrates your meticulous nature and how you ensure high-quality outputs.
✨Be Ready to Discuss Confidentiality
Since maintaining customer privacy is a top priority, be prepared to talk about your understanding of confidentiality in data handling. Share any relevant experiences where you’ve had to protect sensitive information and how you ensure compliance with policies.