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: Flexible part-time hours, competitive pay, and a chance to work with cutting-edge AI.
- Why this job: Be part of a diverse team shaping the future of human-technology interaction.
- Qualifications: Fluent in German and English, with strong analytical and writing skills.
- Other info: Dynamic office environment with opportunities for growth and learning.
The predicted salary is between 15000 - 25000 £ 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. Maintain and follow strict confidentiality as customer privacy is our biggest tenet.
Responsibilities
- 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, and 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 labeling the tasks and be less dependent on work instructions.
- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labeling 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, and 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. 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 - Part Time, Artificial General Intelligence in City of Westminster employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate with German - Part Time, Artificial General Intelligence in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Amazon. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by practising common questions related to data handling and machine learning. 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 and technology! During interviews, share your thoughts on recent advancements in generative AI and how they relate to the role. This will demonstrate your enthusiasm and knowledge in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest roles and updates there, making it easier for us to connect with you.
We think you need these skills to ace Senior Data Associate with German - Part Time, Artificial General Intelligence in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Associate role. Highlight your experience with data handling, attention to detail, and any relevant projects that showcase your skills in machine learning workflows.
Show Off Your Language Skills: Since fluency in German is a must, don’t forget to emphasise your language proficiency. Include any relevant certifications or experiences that demonstrate your command of both German and English.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for the team. Keep it concise but impactful!
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at Amazon.com, Inc
✨Know Your Data
Familiarise yourself with different types of data, especially text, speech, and video. Be ready to discuss how you’ve worked with these in the past and how you can apply that experience to the role.
✨Showcase Your Language Skills
Since fluency in German is crucial, prepare to demonstrate your language skills during the interview. Practice discussing technical concepts in German to show your proficiency and confidence.
✨Highlight Attention to Detail
Prepare examples that showcase your attention to detail and ability to follow complex instructions. Think of situations where your meticulousness led to successful outcomes, especially in data-related tasks.
✨Be Ready for Problem-Solving
Expect questions that assess your analytical thinking and problem-solving skills. Prepare to discuss how you've tackled ambiguous situations in the past and what strategies you used to find solutions.