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- 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.
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 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 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 (
ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence employer: Evi Technologies Limited
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 practising common questions related to ML and data workflows. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 3
Show off your passion for AI! During interviews, share your thoughts on the future of technology and how you see yourself contributing to it. This will help you stand out as someone who’s not just qualified but genuinely excited about the role.
✨Tip Number 4
Don’t forget to apply through our website! 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 and being part of something big.
We think you need these skills to ace ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence
Some tips for your application 🫡
Show Off Your Language Skills: Since fluency in German is a must, make sure to highlight your language skills right at the start. Use clear and professional language in both German and English to showcase your proficiency.
Tailor Your Application: We want to see how you fit into our vision! Customise your CV and cover letter to reflect the key responsibilities and qualifications mentioned in the job description. This shows us you’ve done your homework and are genuinely interested.
Be Detail-Oriented: Attention to detail is crucial for this role. Make sure your application is free from typos and grammatical errors. A polished application reflects your ability to deliver high-quality work, which is what we’re looking for!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way to ensure it gets to the right people and helps us keep track of all applications efficiently.
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.
✨Demonstrate Attention to Detail
During the interview, highlight your ability to manage complex tasks and documents. Share specific examples from your past experiences where your attention to detail made a difference. This will resonate well with the role's requirements and show that you can deliver high-quality work.
✨Be Ready for Problem-Solving
Prepare to discuss how you've tackled ambiguous situations in the past. Think of examples where you had to make logical decisions with limited information. This will showcase your analytical thinking and structured problem-solving capabilities, which are crucial for this position.
