At a Glance
- Tasks: Curate and maintain a Knowledge Graph using AI to enhance content understanding.
- Company: Join a leading online community platform shaping the future of data and AI.
- Benefits: Fully remote work, competitive salary, and potential for contract extension.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Be at the forefront of AI and machine learning, making a real impact on content interpretation.
- Qualifications: Experience with data curation and a passion for AI and machine learning.
The predicted salary is between 39000 - 39000 £ per year.
We are partnering with one of the world’s most influential online community platforms to find a Knowledge Graph Curator who will help improve how large-scale content is understood using AI and machine learning. This is a unique opportunity to work at the intersection of data, AI automation, and knowledge modeling, helping build the systems that interpret and structure massive volumes of online conversations.
About the Role
In this role, you will work closely with product, engineering, and data teams to grow and maintain a large-scale Knowledge Graph used to understand organic and paid content across a major social platform. You will act as the human-in-the-loop expert, reviewing and validating AI-generated entities, ensuring accuracy, and helping shape how automated systems interpret complex online discussions. This position sits within a team focused on building advanced content understanding capabilities powered by applied machine learning and knowledge graphs. The insights generated help improve advertising performance, marketplace intelligence, and large-scale content classification.
Key Responsibilities
- Knowledge Graph Curation: Onboard and maintain entities and relationships within the Knowledge Graph. Ensure accurate representation of concepts, entities, and semantic relationships.
- AI-Assisted Data Review: Review entities generated by Large Language Models (LLMs). Approve high-confidence outputs, correct near matches, and reject incorrect data or hallucinations.
- Data Labeling
Knowledge Graph Curator employer: Russell Tobin
Join a forward-thinking company that values innovation and collaboration, offering a fully remote role as a Knowledge Graph Curator. With a strong focus on employee growth and development, you will have the opportunity to work at the cutting edge of AI and machine learning, contributing to meaningful projects that shape the future of online content understanding. Enjoy a supportive work culture that encourages creativity and provides competitive compensation, making it an excellent choice for those seeking a rewarding career in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Knowledge Graph Curator
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or other platforms. 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 graph curation abilities. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on AI and machine learning concepts. Be ready to discuss how you would handle real-world scenarios related to knowledge graphs.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you a better chance to stand out.
We think you need these skills to ace Knowledge Graph Curator
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Knowledge Graph Curator role. Highlight any experience you have with AI, machine learning, or data curation. 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! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch.
Showcase Relevant Projects:If you've worked on projects related to knowledge graphs or AI, make sure to mention them! We appreciate concrete examples that demonstrate your expertise and problem-solving skills in this area.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Russell Tobin
✨Know Your Knowledge Graphs
Make sure you brush up on your knowledge of Knowledge Graphs and how they function. Familiarise yourself with the concepts of entities, relationships, and semantic representation. Being able to discuss these topics confidently will show that you're not just interested in the role but also understand its core components.
✨Showcase Your AI Understanding
Since this role involves working with AI and LLMs, be prepared to discuss your experience with these technologies. Think about specific projects where you've used AI for data curation or validation. Highlighting your hands-on experience will demonstrate your capability to handle the responsibilities of the position.
✨Prepare for Scenario Questions
Expect questions that put you in real-world scenarios related to data review and validation. Practice articulating how you would approach reviewing AI-generated entities, correcting inaccuracies, and ensuring data integrity. This will help you convey your problem-solving skills effectively during the interview.
✨Engage with the Team's Vision
Research the company and its mission regarding content understanding and AI automation. Be ready to discuss how your values align with theirs and how you can contribute to their goals. Showing genuine interest in their vision will set you apart as a candidate who is not only qualified but also passionate about the work.
