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- Tasks: Label and analyse diverse data types to enhance AI technology.
- Company: Join Amazon, a leader in generative AI and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Why this job: Be part of shaping the future of human-technology interaction.
- Qualifications: Fluent in German and English, with strong analytical skills.
- Other info: Dynamic team environment focused on creativity and individual impact.
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.
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 most important tenet.
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video.
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image, video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team.
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
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.
- Bachelor’s degree in a relevant field.
- 2+ years of professional work 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.
- 2-3 years 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, German Speaking, AGI-Data Services employer: Evi Technologies Limited - C67
Contact Detail:
Evi Technologies Limited - C67 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate, German Speaking, AGI-Data Services
✨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 data handling and AI. Show us your analytical thinking and problem-solving skills – we want to see how you tackle challenges!
✨Tip Number 3
Don’t forget to showcase your attention to detail! Bring examples of past work where you’ve had to manage complex tasks or documents. We love candidates who can pivot and adapt quickly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team and being part of the future of AI.
We think you need these skills to ace Senior Data Associate, German Speaking, AGI-Data Services
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 prominently. Use clear and professional language in your application to demonstrate your proficiency.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We want to see how you can make the box bigger with your unique talents!
Be Detail-Oriented: Attention to detail is key for this role. Make sure your application is free from typos and errors. Show us that you can manage complex tasks by presenting a polished and professional application.
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 into the right hands and shows your enthusiasm for joining our team!
How to prepare for a job interview at Evi Technologies Limited - C67
✨Know Your Data Inside Out
As a Senior Data Associate, you'll be working with various types of data. Make sure you brush up on your knowledge of text, speech, audio, image, and video data. Familiarise yourself with the tools and software mentioned in the job description, so you can confidently discuss how you would use them to deliver high-quality labelled data.
✨Showcase Your Problem-Solving Skills
The role requires strong analytical thinking and structured problem-solving capabilities. Prepare examples from your past experiences where you've successfully identified issues and proposed effective solutions. This will demonstrate your ability to make sound judgments when faced with ambiguity.
✨Demonstrate Attention to Detail
Attention to detail is crucial for this position. During the interview, highlight instances where your meticulous nature has led to successful outcomes. You might even want to bring along a sample of your work that showcases your ability to manage complex tasks and documents.
✨Be Ready to Discuss Confidentiality
Since maintaining customer privacy is a top priority, be prepared to discuss how you handle sensitive information. Share your understanding of confidentiality protocols and any relevant experiences where you've had to ensure data security in your previous roles.