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- Tasks: Support AI development by annotating multi-modal data like text and audio.
- Company: Global tech organisation focused on responsible AI solutions.
- Benefits: Gain hands-on experience in a collaborative team environment.
- Why this job: Make a difference in AI while enhancing your analytical skills.
- Qualifications: Associate's degree and proficiency in English plus French or Dutch.
- Other info: Ideal for detail-oriented individuals seeking growth in tech.
The predicted salary is between 30000 - 40000 £ per year.
A global technology organisation is looking for a Data Associate to support the development of responsible AI solutions. Based in London, this role involves hands-on work with multi-modal data, including text and audio.
Successful candidates will have at least an associate's degree and demonstrate proficiency in both English and either French or Dutch. Strong analytical skills and attention to detail are essential for identifying quality issues and supporting operational tasks in a collaborative team environment.
London Data Annotator (French/Dutch) for AI Labeling employer: 24 Seven Talent
Contact Detail:
24 Seven Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London Data Annotator (French/Dutch) for AI Labeling
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data annotation and AI. 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 analytical abilities and attention to detail. Include examples of any relevant projects or experiences that demonstrate your proficiency in handling multi-modal data.
✨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 with us directly.
We think you need these skills to ace London Data Annotator (French/Dutch) for AI Labeling
Some tips for your application 🫡
Show Off Your Language Skills: Since we're looking for someone who can handle both English and either French or Dutch, make sure to highlight your language proficiency in your application. Use examples that showcase your skills, whether it's through previous work experience or relevant coursework.
Be Detail-Oriented: Attention to detail is key for this role, so don’t shy away from demonstrating this in your written application. Proofread your documents carefully to avoid any typos or errors, and consider including specific instances where your attention to detail made a difference in your past work.
Highlight Your Analytical Skills: We want to see how you approach problem-solving! In your application, share examples of how you've used your analytical skills in previous roles or projects. This could be anything from data analysis to identifying quality issues—just make it relevant!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at 24 Seven Talent
✨Know Your Data
Familiarise yourself with the types of multi-modal data you'll be working with, especially text and audio. Brush up on any relevant tools or software that might be used in data annotation, as this will show your enthusiasm and readiness for the role.
✨Language Proficiency Matters
Since the role requires proficiency in either French or Dutch, be prepared to demonstrate your language skills during the interview. Practice discussing your previous experiences in that language, as it will highlight your capability and confidence.
✨Show Off Your Analytical Skills
Prepare examples from your past experiences where you successfully identified quality issues or improved processes. This will help you illustrate your strong analytical skills and attention to detail, which are crucial for the role.
✨Team Player Attitude
This position involves collaboration, so be ready to discuss how you've worked effectively in teams before. Share specific instances where you contributed to a team project, highlighting your ability to communicate and support your colleagues.