Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Label and evaluate data for cutting-edge AI projects in a collaborative team.
- Company: Join a global tech organisation focused on responsible AI solutions.
- Benefits: Training opportunities, diverse team, and a vibrant London office environment.
- Why this job: Make a real impact on AI initiatives while developing your skills.
- Qualifications: C1+ English and French or Dutch proficiency; attention to detail is key.
- Other info: Great chance for career growth in a dynamic, innovative setting.
The predicted salary is between 30000 - 40000 £ per year.
We’re partnering with a global technology organisation to hire Data Associates with C1+ SPEAKING PROFICIENCY in FRENCH OR DUTCH to support the development of responsible, large‑scale AI solutions. In this role, you’ll work hands‑on with text, speech, audio, image, and video data, carrying out data labeling and evaluation tasks that directly contribute to real‑world AI and generative AI initiatives.
Based in London Offices. Collaborative, diverse team with training and development opportunities.
What You’ll Do- Label and evaluate multi‑modal data using clear guidelines and internal tools
- Maintain strict confidentiality and data privacy standards
- Apply sound judgment when reviewing ambiguous or incomplete data
- Identify quality issues, error patterns, and process improvements
- Support daily operational tasks in a collaborative, on‑site team environment
- Associate’s degree or equivalent professional experience
- C1+ in English (Must have)
- C1+ SPEAKING PROFICIENCY in FRENCH OR DUTCH
- High attention to detail and strong analytical thinking
- Background in research, data annotation, content review, or quality analysis
- Experience working with structured data or evaluation tasks
Data Associate employer: 24 Seven Talent
Contact Detail:
24 Seven Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Associate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. 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 and scenarios related to data handling and analysis. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio or a GitHub repository with examples of your work in data annotation or analysis. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Associate role. Highlight any relevant experience you have with data annotation, evaluation tasks, or working with structured data. We want to see how your background aligns with what we're looking for!
Show Off Your Language Skills: Since we need C1+ speaking proficiency in French or Dutch, don’t forget to showcase your language skills! Mention any relevant experiences where you've used these languages, especially in a professional context.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
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 24 Seven Talent
✨Brush Up on Your Language Skills
Since the role requires C1+ speaking proficiency in French or Dutch, make sure to practice your conversational skills. Engage in mock interviews with friends or use language apps to boost your confidence and fluency.
✨Know Your Data
Familiarise yourself with data annotation and evaluation processes. Research common tools used in the industry and be ready to discuss your experience with structured data. This will show that you’re not just a candidate but someone who understands the job.
✨Demonstrate Attention to Detail
Prepare examples from your past experiences where your attention to detail made a difference. Whether it’s spotting errors in data or improving processes, having concrete examples will help you stand out.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be ready to share how you’ve successfully worked in diverse teams before. Highlight any collaborative projects and how you contributed to achieving common goals.