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- Tasks: Curate and validate data for AI-driven content understanding systems.
- Company: Join a cutting-edge team in the AI and Machine Learning industry.
- Benefits: 100% remote work, flexible hours, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact on digital content.
- Qualifications: Strong understanding of Knowledge Graphs and experience with data management.
- Other info: Collaborative environment with a focus on quality and accuracy.
The predicted salary is between 36000 - 60000 £ per year.
Location: United Kingdom (100% Remote)
Duration: Ongoing Contract
Industry: AI / Machine Learning / Digital Platforms
About the Role
We are looking for a highly detail-oriented Knowledge Graph Curator to join a cutting-edge team building advanced AI-driven content understanding systems. This role sits at the intersection of Artificial Intelligence, data modeling, and human expertise, where you will help structure and validate the data that powers large-scale machine learning models.
As a key contributor, you will work closely with product, engineering, and data teams to expand and maintain a Knowledge Graph of entities and relationships, ensuring the highest level of data accuracy and consistency. You will review and validate AI-generated outputs, curate structured datasets, and play an essential role in improving how automated systems interpret and classify digital content at scale. This is an exciting opportunity for someone passionate about semantic data, AI automation, and building intelligent data systems that drive real business impact.
Key Responsibilities
- Manage and prioritize requests from cross-functional teams for new entities, attributes, and schema updates within the Knowledge Graph
- Review and validate entities generated by Large Language Models (LLMs), approving accurate outputs and correcting inconsistencies
- Perform quality assurance on large datasets to ensure adherence to established taxonomy and ontology standards
- Participate in data labeling and entity classification exercises to create high-quality training datasets for machine learning models
- Investigate and resolve data integrity issues such as duplicate entities, incorrect relationships, or missing attributes
- Work as a human-in-the-loop expert, ensuring automated systems produce reliable and accurate structured data
- Collaborate with product and engineering teams to provide feedback that improves AI model performance and data pipelines
Required Skills:
- Strong understanding of Knowledge Graph fundamentals (nodes, edges, relationships, and properties)
- Experience with taxonomy, ontology, or semantic data organization
- Experience with data labeling, entity extraction, or AI training datasets
- Familiarity with Generative AI / LLM workflows and common challenges such as hallucinations
- Excellent analytical thinking and exceptional attention to detail
- Ability to work with large datasets and structured data systems
- Experience with SQL, SPARQL, or Cypher is a strong plus
- Comfortable working with tools such as Jira, Excel, or Google Sheets
Content Strategist in York employer: HireTalent - Staffing & Recruiting Firm
Contact Detail:
HireTalent - Staffing & Recruiting Firm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Content Strategist in York
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with AI and content strategy. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Knowledge Graphs or any relevant projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI and data systems. Be ready to discuss how you’ve tackled challenges in previous roles, especially around data accuracy and validation.
✨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 Content Strategist in York
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Content Strategist role. Highlight your experience with Knowledge Graphs and AI, and show us how your skills align with what we're looking for.
Showcase Your Attention to Detail: Since this role requires a keen eye for detail, include examples in your application that demonstrate your analytical thinking and ability to manage large datasets. We want to see how you ensure data accuracy!
Be Authentic: Let your personality shine through in your written application. We value authenticity, so don’t be afraid to share your passion for AI and semantic data. Tell us why this role excites you!
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. This helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at HireTalent - Staffing & Recruiting Firm
✨Know Your Knowledge Graphs
Make sure you brush up on your understanding of Knowledge Graph fundamentals. Be ready to discuss nodes, edges, and relationships in detail. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Analytical Skills
Prepare examples from your past experiences where you demonstrated strong analytical thinking. Whether it’s resolving data integrity issues or performing quality assurance, having specific instances ready will help you stand out.
✨Familiarise Yourself with AI Workflows
Since the role involves working with Generative AI and LLMs, make sure you understand common challenges like hallucinations. Being able to discuss these topics will demonstrate your readiness to tackle real-world problems in the field.
✨Practice Data Management Tools
Get comfortable with tools like SQL, SPARQL, or even Excel and Google Sheets. If you can, practice some queries or data manipulation tasks beforehand. This hands-on experience will give you confidence during technical discussions in the interview.