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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 organisation.
- 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
Locations
Content Strategist in Hampshire, Portsmouth 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 Hampshire, Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and content strategy space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience with Knowledge Graphs and AI-driven projects. Use real examples of how you’ve improved data accuracy or worked with large datasets. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of taxonomy and ontology. Be ready to discuss how you’ve tackled data integrity issues in the past. We want to see your analytical thinking in action, so practice articulating your thought process!
✨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. Let’s get you that Content Strategist role!
We think you need these skills to ace Content Strategist in Hampshire, Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Content Strategist role. Highlight your experience with Knowledge Graphs, AI, and data management. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for semantic data and AI automation. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Relevant Experience: When detailing your experience, focus on projects that involved taxonomy, ontology, or data validation. We love seeing concrete examples of how you've tackled challenges similar to those in our job description.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
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.