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- Tasks: Label data for AI projects while ensuring confidentiality and quality.
- Company: Leading tech firm in Cambridge with a focus on innovation.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and contribute to cutting-edge AI technology.
- Qualifications: Fluency in Italian and English, plus relevant experience or degree.
- Other info: Collaborative environment with a focus on process improvement.
The predicted salary is between 30000 - 42000 £ per year.
A leading technology firm is looking for a Senior Data Associate in Cambridge. This role involves maintaining confidentiality while working with various data types and delivering high-quality labelled data. The ideal candidate should possess an Associate’s Degree or equivalent work experience, along with fluency in Italian (CEFR C1+) and English (CEFR B2+).
Responsibilities include:
- Supporting machine learning data workflows
- Contributing to process improvements in a team setting
Senior Data Associate for AI Data Labeling (Italian) in Cambridge employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate for AI Data Labeling (Italian) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by practising common questions related to data labelling and AI workflows. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with data types and machine learning projects. This will give you an edge and demonstrate your expertise to potential employers.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Data Associate for AI Data Labeling (Italian) in Cambridge
Some tips for your application 🫡
Show Off Your Language Skills: Since fluency in Italian 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 that you’re confident in both languages!
Tailor Your Experience: When detailing your work experience, focus on roles where you've handled data or worked in a team setting. We love seeing how your past experiences align with our needs, so don’t hold back!
Keep It Professional Yet Personal: While we appreciate professionalism, we also want to get a sense of who you are. Feel free to inject a bit of your personality into your application – it helps us connect with you better!
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 amazing skills and experience!
How to prepare for a job interview at Amazon
✨Know Your Data Inside Out
Make sure you’re familiar with different data types and labelling techniques. Brush up on your knowledge of machine learning workflows, as this will show your potential employer that you understand the core responsibilities of the role.
✨Show Off Your Language Skills
Since fluency in Italian and English is crucial, be prepared to demonstrate your language skills during the interview. Practice discussing technical concepts in both languages to ensure you can communicate effectively with the team.
✨Highlight Your Teamwork Experience
This role involves working closely with others, so be ready to share examples of how you’ve contributed to team projects in the past. Discuss any process improvements you’ve implemented and how they benefited your previous teams.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to data labelling and machine learning. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
