Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Review and improve AI systems by validating datasets and spotting trends.
- Company: Global tech leader at the forefront of AI and data quality.
- Benefits: Competitive salary, fully remote work, and weekly pay.
- Other info: Ideal for those passionate about social media and current trends.
- Why this job: Join a dynamic team and shape the future of AI with your insights.
- Qualifications: Experience in data labelling or content review, strong attention to detail.
The predicted salary is between 65000 - 65000 £ per year.
Working at the intersection of content, data, and AI, this role focuses on reviewing and improving how AI systems interpret real-world trends. You'll be validating large datasets, spotting inconsistencies, and ensuring outputs meet high standards of accuracy and quality.
What you'll be doing:
- Label and review datasets with high attention to detail
- Validate AI/LLM outputs and flag issues
- Identify trends, errors, and inconsistencies
- Apply structured guidelines consistently
- Document decisions and edge cases
What we're looking for:
- 2-4+ years in data labelling, content review, or data QA
- Strong written English and attention to detail
- Comfortable working with large datasets and repetitive tasks
- Able to follow guidelines and make consistent decisions
Nice to have:
- Interest in social media, trends, or current affairs
- Background in editorial, publishing, or similar
What's in it for you:
- 6 months | Inside IR35 (PAYE via Principle HR)
- Annual Salary up to £65,000 doe and location
- Fully remote (UK only)
- Weekly pay
Please note: Must be based in the UK with full right to work. No sponsorship available.
Content & Data Quality Analyst - Global Tech in London employer: Principle HR
Contact Detail:
Principle HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Content & Data Quality Analyst - Global Tech in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, make sure to share them. It’s a great way to demonstrate your attention to detail and understanding of data quality.
✨Tip Number 3
Prepare for interviews by brushing up on AI trends and data validation techniques. Being knowledgeable about current affairs can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from our platform, and it helps us keep track of all the amazing talent out there.
We think you need these skills to ace Content & Data Quality Analyst - Global Tech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data labelling and content review. We want to see how your skills align with the role, so don’t be shy about showcasing your attention to detail!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and trends, and how your background makes you a perfect fit for this role. Keep it engaging and relevant!
Showcase Your Attention to Detail: Since this role requires a keen eye for spotting inconsistencies, consider including examples of how you've successfully managed large datasets or improved quality in previous roles. We love specifics!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Principle HR
✨Know Your Data
Before the interview, brush up on your knowledge of data labelling and quality assurance. Familiarise yourself with common issues in datasets and think about how you would approach validating AI outputs. This will show that you’re not just familiar with the role but also passionate about ensuring high standards.
✨Attention to Detail is Key
Since this role requires a strong attention to detail, prepare examples from your past work where you successfully identified inconsistencies or errors. Be ready to discuss how you applied structured guidelines in those situations, as this will demonstrate your ability to follow processes effectively.
✨Stay Current with Trends
Given the focus on trends and current affairs, make sure you’re up-to-date with the latest happenings in social media and technology. Bring insights into how these trends might affect data interpretation, which will highlight your interest and understanding of the industry.
✨Practice Clear Communication
Strong written English is crucial for this role. Practise articulating your thoughts clearly and concisely. You might even want to write down some key points about your experience with data quality and be prepared to explain them during the interview. This will help you convey your ideas effectively.