At a Glance
- Tasks: Manage and curate data for our Knowledge Graph while collaborating with partner teams.
- Company: Join a forward-thinking tech company focused on AI and data integrity.
- Benefits: Flexible remote work, competitive pay, and opportunities for skill development.
- Other info: Dynamic role with potential for growth in the tech industry.
- Why this job: Be at the forefront of AI innovation and make a real impact on data accuracy.
- Qualifications: Experience with data management, strong analytical skills, and attention to detail.
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
- Oversee 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).
Content Labeler in Hull employer: HireTalent - Staffing & Recruiting Firm
As a remote employer based in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Our commitment to professional growth is evident through continuous learning opportunities and a supportive environment where your contributions directly impact the evolution of our Knowledge Graph. Join us to be part of a forward-thinking team that values detail-oriented work and embraces the intersection of AI and human expertise.
Contact Details:
HireTalent - Staffing & Recruiting Firm Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Content Labeler in Hull
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to content labelling and knowledge graphs. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts clearly.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with data curation, AI tools, and any relevant projects. This will give you an edge and demonstrate your hands-on expertise to potential employers.
✨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 Labeler in Hull
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Knowledge Graphs and data management in your application. We want to see how your skills align with what we’re looking for, so don’t hold back!
Be Detail-Oriented:Since this role requires a keen eye for detail, ensure your application is free from typos and errors. We appreciate clarity and precision, so take the time to proofread before hitting send!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Content Labeler role. Show us you understand what we do and how you can contribute.
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 and shows us you’re serious about joining the StudySmarter team!
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, nodes, edges, and properties. Being able to discuss these topics confidently will show that you understand the fundamentals of a Knowledge Graph and can contribute effectively.
✨Prioritisation is Key
Prepare to talk about how you would prioritise tasks in a busy environment. Think of examples where you've had to assess urgency and business impact, as this role requires strong analytical prioritisation skills.
✨Showcase Your Attention to Detail
Be ready to demonstrate your eagle eye for spotting inconsistencies or errors in data. You might be asked to review a sample dataset, so practice explaining your thought process when identifying issues.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying technical jargon into layman's terms. This will help you stand out as someone who can bridge the gap between technical and non-technical teams.
