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- Tasks: Label data accurately while ensuring confidentiality and quality standards.
- Company: Leading tech company in Greater London with a focus on AI development.
- Benefits: Flexible part-time hours, competitive pay, and a collaborative team environment.
- Why this job: Join a diverse team and contribute to exciting AI projects while honing your skills.
- Qualifications: Fluency in German and English, analytical skills, and Microsoft Office proficiency.
- Other info: Perfect for students seeking valuable experience in a tech-driven industry.
The predicted salary is between 13 - 16 £ per hour.
A leading technology company based in Greater London is seeking a Senior Data Associate who is fluent in German and English. The role involves handling various types of data, delivering high-quality labeled data to meet strict confidentiality standards.
Ideal candidates will possess:
- An Associate's Degree or equivalent experience
- Strong analytical skills
- Proficiency in Microsoft Office
This part-time position requires attention to detail and the ability to manage complex tasks within a diverse team focused on AI development.
Senior German ML Data Labeler (Part-Time) in London employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior German ML Data Labeler (Part-Time) 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 practising common questions and showcasing your analytical skills. We all know that confidence is key, so rehearse with a friend or in front of the mirror to nail that delivery!
✨Tip Number 3
Show off your attention to detail! During interviews, share examples of how you've managed complex tasks in the past. This will demonstrate that you’re the perfect fit for the role and can handle the responsibilities.
✨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 German ML Data Labeler (Part-Time) in London
Some tips for your application 🫡
Show Off Your Language Skills: Since we're looking for someone fluent in both German and English, make sure to highlight your language proficiency right at the start. Use examples from your past experiences where you’ve successfully used these skills.
Tailor Your CV: Don’t just send out the same CV for every job. We want to see how your experience aligns with the role of Senior Data Associate. Focus on relevant skills like data handling and analytical abilities that match our needs.
Be Detail-Oriented: Attention to detail is key in this role. When writing your application, double-check for any typos or errors. A polished application shows us you care about quality, just like we do with our data.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Amazon
✨Brush Up on Your Language Skills
Since the role requires fluency in both German and English, make sure you’re comfortable switching between the two during the interview. Practise common phrases and technical vocabulary related to data labelling to show off your language skills.
✨Know Your Data Inside Out
Familiarise yourself with different types of data and labelling techniques. Be prepared to discuss your previous experience with data handling and how you ensure high-quality results while maintaining confidentiality standards.
✨Show Off Your Analytical Skills
The company is looking for strong analytical skills, so be ready to demonstrate how you approach complex tasks. Think of examples from your past work where you solved problems or improved processes, and share these during the interview.
✨Get Comfortable with Microsoft Office
Proficiency in Microsoft Office is a must, so brush up on your skills, especially in Excel. Be prepared to discuss how you’ve used these tools in previous roles to manage data effectively and contribute to team projects.
