Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Label data for AI projects while ensuring confidentiality and quality.
- Company: Leading tech firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, supportive team environment, and career development opportunities.
- Why this job: Join a diverse team and shape the future of AI technology.
- Qualifications: Strong German language skills and analytical abilities required.
- Other info: Office-based role with a standard Monday to Friday schedule.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in Greater London seeks a Senior Data Associate with strong German language skills. The role involves maintaining confidentiality and delivering high-quality labelled data across various types of media.
You must have strong analytical and business writing skills, along with at least an Associate’s Degree. Take part in shaping the future of AI technology within a diverse team. This position is office-based, adhering to a standard Monday through Friday work schedule.
Senior ML Data Associate (German) — AI Data Labeling Lead employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Data Associate (German) — AI Data Labeling Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your German language skills and understanding the latest trends in AI data labeling. We want you to impress them with your knowledge and confidence!
✨Tip Number 3
Showcase your analytical skills during the interview. Be ready to discuss how you've tackled data challenges in the past. We love hearing about real-life examples that highlight your problem-solving abilities!
✨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 team and shaping the future of AI technology!
We think you need these skills to ace Senior ML Data Associate (German) — AI Data Labeling Lead
Some tips for your application 🫡
Show Off Your Language Skills: Since this role requires strong German language skills, make sure to highlight your proficiency in your application. Use clear and concise language, and don’t shy away from showcasing any relevant experience you have in data labeling or working with media.
Tailor Your CV and Cover Letter: We want to see how you fit into our team! Customise your CV and cover letter to reflect the skills and experiences that align with the job description. Mention your analytical skills and any relevant qualifications, like your Associate’s Degree, to catch our eye.
Keep It Professional Yet Personal: While we appreciate professionalism, we also love a bit of personality! Let your unique voice shine through in your written application. Share why you’re passionate about AI technology and how you can contribute to our diverse team.
Apply Through Our Website: To make sure your application gets to us without a hitch, apply directly through our website. It’s the best way to ensure we see your application and can consider you for this exciting opportunity!
How to prepare for a job interview at Amazon
✨Brush Up on Your German
Since the role requires strong German language skills, make sure to practice your speaking and writing beforehand. Prepare to demonstrate your proficiency during the interview by discussing your previous experiences in German.
✨Showcase Your Analytical Skills
Be ready to discuss specific examples where you've used your analytical skills to solve problems or improve processes. Think of situations where you delivered high-quality labelled data and how that impacted the project or team.
✨Understand AI Data Labeling
Familiarise yourself with the basics of AI data labeling and its importance in technology. Being able to articulate your understanding of this process will show your enthusiasm for the role and your commitment to contributing to the team's success.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company culture, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
