ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence
ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence

ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Label and evaluate data to enhance AI performance, ensuring high quality and confidentiality.
  • 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 writing skills.
  • Other info: Fixed-term contract with a dynamic office culture and regular training events.

The predicted salary is between 36000 - 60000 £ per year.

Note: This is a position for a fixed-term contract.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 basisA 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 C1+) – 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. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visithttps://amazon.jobs/content/en/how-we-hire/accommodationsfor more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence employer: Evi Technologies Limited

Amazon is an exceptional employer, offering a dynamic work environment where innovation and creativity thrive. As a part of our diverse team in the heart of technology, you will have access to continuous training and development opportunities, ensuring your professional growth while contributing to groundbreaking advancements in AI. With a strong commitment to employee well-being and a culture that values individuality, Amazon provides a unique platform for those looking to make a meaningful impact in the world of Artificial Intelligence.
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Contact Detail:

Evi Technologies Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land ML Senior Data Associate - Fluent in German Language, 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 German language skills too! We want to see your passion and knowledge shine through when discussing how you can contribute to the team.

✨Tip Number 3

Showcase your problem-solving skills! Be ready to discuss past experiences where you tackled complex tasks or improved processes. We love candidates who can think on their feet and adapt to challenges.

✨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 team and being part of the future of AI.

We think you need these skills to ace ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence

Fluency in German
Fluency in English
Attention to Detail
Data Labelling
Machine Learning (ML) Expertise
Analytical Thinking
Problem-Solving Skills
Research Skills
Project Coordination
Communication Skills
Confidentiality Management
Adaptability
Microsoft Office Suite Proficiency
Ability to Interpret Detailed Instructions

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your relevant experience and skills in your application. We want to see how you can contribute to our mission of transforming technology with AI, so don’t hold back!

Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Use the job description as a guide to showcase how your background aligns with what we’re looking for. It’ll make a big difference!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid fluff and focus on what makes you a great fit for the ML Senior Data Associate position.

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure it gets into the right hands. Plus, we love seeing applications come directly from our candidates!

How to prepare for a job interview at Evi Technologies Limited

✨Know Your Stuff

Make sure you brush up on your knowledge of machine learning and data workflows. Familiarise yourself with the types of data you'll be working with, like text, speech, and images. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential subject matter expert.

✨Showcase Your Language Skills

Since fluency in German is a must, practice speaking and writing in German before the interview. Prepare to demonstrate your language skills through examples or even a mock conversation. This will help you stand out as a strong candidate who can communicate effectively in both German and English.

✨Be Detail-Oriented

Highlight your attention to detail during the interview. Share specific examples from your past experiences where your meticulous nature led to successful outcomes. This is crucial for the role, so make sure they see how you can maintain high-quality work while managing complex tasks.

✨Embrace Ambiguity

The job requires making logical decisions even when information is unclear. Prepare to discuss situations where you've successfully navigated ambiguity. Show them that you can think on your feet and adapt quickly, which is essential in a fast-paced environment like this one.

ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence
Evi Technologies Limited

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