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- Tasks: Label and evaluate multi-modal data for AI projects in a collaborative team.
- Company: Join a global tech organisation focused on responsible AI solutions.
- Benefits: On-site role with training opportunities and a diverse work environment.
- Why this job: Contribute to cutting-edge AI initiatives while developing your skills.
- Qualifications: C1+ proficiency in English and French or Dutch, with attention to detail.
- Other info: 6-month contract based in London, Monday to Friday.
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.
Role Details
- 6-month contract
- On-site, Monday - Friday (40 hour week)
- 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
What We’re Looking For
- 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 in London employer: 24 Seven Talent
Contact Detail:
24 Seven Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Associate in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at 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 roles. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with data annotation and analysis. This can really set you apart from other candidates when applying through our website.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it keeps you on their radar as they make their decision.
We think you need these skills to ace Data Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience that matches the Data Associate role. We want to see how your background in data annotation or quality analysis 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 mention any language certifications or experiences that showcase your skills. This is a biggie for us!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and why you want to join our 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!
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 language skills before the interview. Engage in conversations, watch films, or listen to podcasts in your chosen language 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 nuances of the role.
✨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 as a meticulous candidate.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be ready to share instances where you’ve successfully worked in a team environment. Highlight your ability to communicate effectively and support your colleagues, as this will resonate well with the collaborative culture they’re looking for.