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- Tasks: Curate and manage a Knowledge Graph, ensuring data accuracy and relevance.
- Company: Join a forward-thinking tech company focused on AI and data integrity.
- Benefits: Flexible remote work, competitive pay, and opportunities for skill development.
- Why this job: Be at the forefront of AI technology and make a real impact on data quality.
- Qualifications: Experience with data management, strong analytical skills, and familiarity with AI concepts.
- Other info: Dynamic role with potential for contract extension and career growth.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a detail-oriented and strategic Knowledge Graph Curator. In this role, you will sit at the intersection of AI automation and human judgment. You will not only manage incoming requests from partner teams but also proactively shape the growth of our Knowledge Graph (KG) to ensure high fidelity, relevance, and connectivity. You will serve as the expert human-in-the-loop, validating LLM-generated entities and ensuring our graph represents the "ground truth" for the business.
What You'll Do
- Pipeline Management & Prioritization
- Manage Inbound Requests: Act as the primary point of contact for partner teams (Product, Engineering, Analytics) requesting new entities or schema changes.
- Strategic Prioritization: Triage the backlog of requests by assessing business impact, urgency, and technical feasibility.
- AI-Assisted Curation & Human-in-the-Loop Automation
- Interact with internal tooling to review entities generated by Large Language Models (LLMs). You will approve high-confidence data, edit near-misses, and reject hallucinations.
- Quality Validation: Perform rigorous QA on batches of generated entities to ensure they adhere to the strict ontological standards and factual accuracy required by the KG.
- Model Feedback Loops: Participate in ad-hoc labeling exercises (creation of Golden Sets) to measure current model quality and provide training data to fine-tune classifiers and extraction algorithms.
- Data Integrity & Stakeholder Management
- Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships.
- Feedback & Reporting: Close the loop with partner teams. You will report on the status of their requests, explain why certain modeling decisions were made, and educate stakeholders on how to best query the new data.
Required Skills
- Technical & Domain Expertise
- Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties).
- Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities.
- Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus.
- AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.
- Operational & Soft Skills
- Analytical Prioritization: Ability to look at a list of 50 tasks and determine the 5 that will drive the most business value.
- Attention to Detail: An "eagle eye" for spotting inconsistencies, typos, and logical fallacies in data.
- Stakeholder Communication: Ability to translate complex data modeling concepts into clear language for non-technical product managers and business stakeholders.
- Tool Proficiency: Comfort learning proprietary internal tools, ticketing systems (e.g., Jira), and spreadsheet manipulation (Excel/Google Sheets).
Graph Curator in Belfast employer: HireTalent - Staffing & Recruiting Firm
Contact Detail:
HireTalent - Staffing & Recruiting Firm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graph Curator in Belfast
✨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 a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your knowledge of Knowledge Graphs. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions related to graph concepts and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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!
We think you need these skills to ace Graph Curator in Belfast
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Graph Curator role. Highlight your experience with Knowledge Graphs, data management, and any relevant tools like SQL or SPARQL. We want to see how your skills align with what we’re looking for!
Showcase Your Attention to Detail: Since this role requires a keen eye for detail, don’t shy away from demonstrating this in your application. Use clear examples of how you've spotted inconsistencies or improved data quality in past roles. We love candidates who can prove they’ve got that 'eagle eye'!
Communicate Clearly: Remember, you’ll need to explain complex concepts to non-technical stakeholders. Use your application to show us how you can break down intricate ideas into simple terms. This will give us a taste of your communication skills right from the start!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at HireTalent - Staffing & Recruiting Firm
✨Know Your Graphs
Make sure you brush up on your knowledge of graph concepts, including nodes, edges, and properties. Being able to discuss these fundamentals confidently will show that you understand the core of what the role entails.
✨Prioritisation is Key
Prepare to talk about how you would prioritise tasks when faced with multiple requests. Think of examples from your past experiences where you had to assess urgency and business impact, as this will demonstrate your analytical skills.
✨Showcase Your Attention to Detail
Be ready to provide examples of how you've spotted inconsistencies or errors in data before. This role requires an eagle eye, so sharing specific instances where your attention to detail made a difference will be impressive.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You might have to translate technical jargon for non-technical stakeholders, so being able to communicate effectively will be crucial in the interview.
