Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Label data to boost voice assistant performance and enhance AI systems.
- Company: Leading tech company committed to responsible innovation.
- Benefits: Dynamic team environment with opportunities for growth and development.
- Why this job: Join a forward-thinking team and make a real impact in AI technology.
- Qualifications: Fluency in German and English, analytical skills, and attention to detail.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech company is seeking a Machine Learning Data Associate (MLDA) in Greater London. This role focuses on data labeling tasks to enhance voice assistant performance.
Candidates must have an Associate's Degree or relevant experience, demonstrate fluency in both German (C1+) and English (B2+), and possess strong analytical and writing skills.
The position offers a dynamic team environment within a responsible tech organization and requires attention to detail and confidentiality.
Senior ML Data Labeling Specialist for AI Systems employer: Amazon Jobs
Contact Detail:
Amazon Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Data Labeling Specialist for AI Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions related to data labeling and machine learning. We suggest doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your analytical abilities and any relevant projects you've worked on. We want to see your flair for detail and how you tackle data challenges.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Senior ML Data Labeling Specialist for AI Systems
Some tips for your application 🫡
Show Off Your Language Skills: Since fluency in German and English is key for this role, make sure to highlight your language proficiency right at the top of your application. We want to see how you can bring your bilingual skills to the table!
Tailor Your Experience: When detailing your experience, focus on any relevant data labeling or analytical work you've done. We love seeing how your past roles align with what we need, so don’t hold back on those specifics!
Be Detail-Oriented: Attention to detail is crucial for this position. In your application, give examples of how you've successfully managed tasks that required precision and confidentiality. This will show us you’re the right fit for our dynamic team.
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 to do!
How to prepare for a job interview at Amazon Jobs
✨Brush Up on Your Language Skills
Since fluency in both German and English is crucial for this role, make sure to practice speaking and writing in both languages. Prepare to demonstrate your language skills during the interview by discussing your previous experiences or projects in both languages.
✨Showcase Your Analytical Skills
Be ready to discuss specific examples where you've used your analytical skills in data labeling or similar tasks. Think of situations where your attention to detail made a difference, and be prepared to explain your thought process clearly.
✨Understand the Tech Landscape
Familiarise yourself with the latest trends in AI and voice assistant technologies. Being knowledgeable about the industry will not only impress the interviewers but also help you answer questions more effectively and show your genuine interest in the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, company culture, and the specific challenges they face in data labeling. This shows that you're engaged and serious about finding the right fit for both you and the company.
