At a Glance
- Tasks: Label data accurately while ensuring confidentiality and quality.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Flexible part-time hours, competitive pay, and a collaborative team environment.
- Why this job: Join a dynamic team and contribute to exciting AI projects.
- Qualifications: Fluency in Dutch and English, with strong writing skills and relevant experience.
- Other info: Great opportunity for students looking to gain experience in tech.
The predicted salary is between 13 - 16 £ per hour.
A leading tech company in Greater London is seeking a part-time Data Entry Clerk fluent in Dutch. This role involves delivering high-quality labelled data while maintaining strict confidentiality.
Candidates must have an Associate's degree or relevant experience and strong writing skills in both Dutch and English.
The successful candidate will be part of a dynamic team, focused on enhancing data processes and contributing to innovative AI projects.
Dutch Data Labeling Specialist (Part-Time) employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Dutch Data Labeling Specialist (Part-Time)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on social media, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Show them you’re not just another candidate; you’re genuinely interested in their work and how you can contribute to their innovative AI projects.
✨Tip Number 3
Practice your language skills! Since this role requires fluency in Dutch and English, brush up on both languages. Consider doing mock interviews with friends or using language apps to keep your skills sharp.
✨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 Dutch Data Labeling Specialist (Part-Time)
Some tips for your application 🫡
Show Off Your Language Skills: Since this role requires fluency in Dutch and English, make sure to highlight your language skills prominently. Use clear and concise language in both languages to demonstrate your writing prowess.
Tailor Your Experience: When detailing your experience, focus on any relevant data entry or labelling work you've done. We want to see how your background aligns with the job description, so don’t hold back on those details!
Keep It Professional Yet Personal: While we love a bit of personality, remember to keep your application professional. Share a bit about yourself and why you’re excited about this role, but stay focused on your qualifications and what you can bring to the team.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Amazon
✨Brush Up on Your Dutch
Since the role requires strong writing skills in Dutch, make sure to review any relevant terminology or phrases that might come up during the interview. Practising your language skills can help you feel more confident and articulate your thoughts clearly.
✨Know Your Data Processes
Familiarise yourself with data entry and labelling processes. Research common tools and techniques used in the industry. Being able to discuss these topics will show your potential employer that you're proactive and knowledgeable about the role.
✨Prepare for Team Dynamics
As you'll be part of a dynamic team, think about how you can contribute to team projects. Be ready to share examples of how you've worked collaboratively in the past, and highlight your ability to adapt to new challenges.
✨Showcase Your Confidentiality Skills
Confidentiality is key in this role. Prepare to discuss how you've handled sensitive information in previous positions. This will demonstrate your understanding of the importance of data privacy and your commitment to maintaining it.