At a Glance
- Tasks: Label and evaluate data to enhance AI performance across various media.
- Company: Join Amazon, a leader in AI innovation and technology.
- Benefits: Competitive salary, diverse team, 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 writing 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.
Basic 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.
Preferred Qualifications:
- 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
Contact Detail:
Amazon 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, 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 showcasing your skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience effectively.
✨Tip Number 3
Showcase your passion for AI and data! During interviews, share your thoughts on the latest trends in artificial intelligence and how you can contribute to the team’s goals. Let your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our awesome team at Evi Technologies.
We think you need these skills to ace Senior Data Associate with German, Artificial General Intelligence
Some tips for your application 🫡
Show Off Your Language Skills: Since this role requires fluency in German and English, make sure to highlight your language skills right at the start. Use clear examples of how you've used these languages in a professional setting to really stand out.
Be Detail-Oriented: Attention to detail is key for this position. When writing your application, double-check for any grammatical errors or typos. We want to see that you can deliver high-quality work from the get-go!
Tailor Your Application: Don’t just send a generic application! Make sure to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Show us how you fit into our vision of building the future of AI.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Amazon
✨Know Your Data
Familiarise yourself with different types of data you'll be working with, such as 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 Language Skills
Since fluency in German is crucial, practice speaking and writing in German before the interview. Be prepared to demonstrate your language proficiency and how it relates to the role, especially in creating grammatically correct responses.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled ambiguous situations or complex tasks in the past. Highlight your analytical thinking and structured problem-solving capabilities, as these are key for the role.
✨Emphasise Attention to Detail
During the interview, share specific instances where your attention to detail made a difference in your work. This could involve managing complex documents or ensuring quality in data labelling tasks, which is essential for this position.