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- 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 in London 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 in London
✨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 shine when discussing how your analytical skills can contribute to the team!
✨Tip Number 3
Showcase your passion for AI technology! During interviews, share your thoughts on how high-quality labelled data impacts AI development. This will demonstrate your commitment 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 noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior ML Data Associate (German) — AI Data Labeling Lead in London
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 your background fits the Senior ML Data Associate role. Customise your CV and cover letter to reflect the skills and experiences that align with the job description. This shows us you’re genuinely interested and have done your homework!
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t forget to let your personality shine through! Share your passion for AI technology and how you can contribute to our diverse team. A little personal touch can make your application stand out.
Apply Through Our Website: To ensure your application gets to us directly, please apply through our website. It’s the best way for us to keep track of your application and makes the process smoother for everyone involved!
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 speaking and writing in German before the interview. You might be asked to demonstrate your proficiency, so consider preparing a few examples of your work or experiences that highlight your language abilities.
✨Know Your Data Labelling Techniques
Familiarise yourself with various data labelling methods and tools relevant to AI technology. Be ready to discuss your experience with these techniques and how you ensure high-quality results. This will show your potential employer that you’re not just a fit for the role but also passionate about the field.
✨Showcase Your Analytical Skills
Prepare to discuss specific instances where your analytical skills made a difference in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to see your thought process and problem-solving abilities.
✨Understand the Company Culture
Research the company’s values and culture to align your responses with what they stand for. Being able to articulate why you want to work there and how you can contribute to their mission will set you apart from other candidates. Plus, it shows you’ve done your homework!
