Content & Data Quality Analyst - Global Tech
Posted Today by Principle
£65,000 Per year
Inside
Remote
London Area, United Kingdom
Summary: The Content & Data Quality Analyst role involves enhancing AI systems by reviewing and improving their interpretation of real-world trends. The position requires validating large datasets, identifying inconsistencies, and ensuring high standards of accuracy and quality. This fully remote role is based in the UK and offers a competitive salary. The position is classified as inside IR35, requiring PAYE through Principle HR.
Key Responsibilities:
- 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
Key Skills:
- 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
- Interest in social media, trends, or current affairs (nice to have)
- Background in editorial, publishing, or similar (nice to have)
Salary (Rate): £65,000.00 yearly
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Content & Data Quality Analyst (AI / Trends) 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'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
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
Interested? Next Steps... Apply Now with your CV or LinkedIn profile for immediate consideration.