At a Glance
- Tasks: Curate and manage a Knowledge Graph for a high-traffic social content platform.
- Company: Join Gramian Consultancy, a boutique firm specialising in IT talent solutions.
- Benefits: 100% remote work with flexible contract options and opportunities for growth.
- Other info: Collaborate with diverse teams in a dynamic, innovative environment.
- Why this job: Be at the forefront of AI automation while shaping impactful business insights.
- Qualifications: 3+ years in Knowledge Graphs, strong understanding of taxonomy and ontology.
The predicted salary is between 36000 - 60000 € per year.
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role overview
Our client is a large-scale, high-traffic social content platform whose Ads Content Understanding team builds the core engine for accurate, interpretable understanding of organic and paid content. Using applied ML and a robust Knowledge Graph (KG), the team extracts high-quality, monetization-focused signals that power ads performance and business insights at scale. We are seeking a Knowledge Graph Curator / Expert to grow and curate Knowledge Graph of entities and relationships. The role sits at the intersection of AI automation and human judgment, managing partner team requests while proactively shaping the KG to ensure high fidelity, relevance, and connectivity. As the human-in-the-loop, you will validate LLM-generated entities and ensure the graph remains the source of ground truth for the business.
Locations: 100% Remote - Armenia, Bulgaria, Croatia, Egypt, Hungary, Poland, Romania, Slovenia, UAE, UK, Ireland, Netherlands
Contract: 12-18 months contract or FTE
Note: This is not a job for an engineer (Data Scientist, AI/ML). This is a Data Analyst/Entry type of a role.
About the Team
The Indexing Team is part of the ML organization, specializing in indexing: processing massive datasets to enable ranking, search, and more. We handle real-time event processing and asynchronous batch jobs from diverse sources. We partner closely with backend and ML teams to integrate our Indexing Platform with ML services, ensuring frictionless index creation and top-tier customer experiences. Our platform fuels high-impact features: enterprise search, user feed ranking, and content understanding—all at B2C scale (10M+ DAU).
Key Responsibilities
- Onboard new entities into the Ads team Knowledge Graph, ensuring alignment with defined schemas and ontologies.
- Serve as the primary point of contact for Product, Engineering, and Analytics teams requesting entity additions or schema changes.
- Prioritize and triage incoming requests based on business impact, urgency, and technical feasibility.
- Perform data entry and labeling to support automated content understanding pipelines.
- Tune and refine LLM prompts to improve content understanding automation.
- Review and curate LLM-generated entities, approving high-confidence outputs, correcting near-misses, and rejecting hallucinations.
- Execute rigorous QA and validation to ensure ontological consistency and factual accuracy.
- Create Golden Sets via targeted labeling to assess model quality and support classifier and extraction model fine-tuning.
- Investigate and resolve data integrity issues, including error correction, duplicate entity merging, and relationship conflict resolution.
- Provide clear stakeholder feedback, status updates, and modeling rationale, and guide teams on effective Knowledge Graph querying.
Requirements
- 3+ years of experience with Knowledge Graph.
- Strong understanding of graph concepts (Nodes, Edges, Properties).
- Experience with Taxonomy & Ontology - Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Proficiency in navigating complex datasets.
- Experience with SQL, SPARQL, or Cypher is a strong plus.
- Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training.
Taxonomy & Ontology Expert employer: Gramian Consulting Group
At Gramian Consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Taxonomy & Ontology Expert, you will enjoy the flexibility of remote work across various countries while contributing to impactful projects in a dynamic environment. We offer ample opportunities for professional growth and development, ensuring that your contributions are recognised and valued within our high-performing team.
StudySmarter Expert Advice🤫
We think this is how you could land Taxonomy & Ontology Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend virtual meetups. You never know who might have the inside scoop on job openings that aren't advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in Knowledge Graphs and Taxonomy. This can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Knowledge Graphs and AI. Practice explaining complex concepts in simple terms, as this will showcase your understanding and communication skills.
✨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 Taxonomy & Ontology Expert
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Taxonomy & Ontology Expert. Highlight your experience with Knowledge Graphs and any relevant projects that showcase your understanding of taxonomy and ontology. We want to see how you fit into our world!
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 skills align with our needs. Be sure to mention your experience with data categorisation and managing hierarchies, as these are key for us.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially if you have experience with SQL, SPARQL, or Cypher. We love seeing candidates who can navigate complex datasets and understand graph concepts, so make sure to include these in your application.
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. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Gramian Consulting Group
✨Know Your Graphs
Make sure you brush up on your knowledge of Knowledge Graphs, including nodes, edges, and properties. Be ready to discuss how you've categorised data and managed hierarchies in the past. This will show that you understand the core concepts and can hit the ground running.
✨Showcase Your Experience
Prepare specific examples from your previous roles where you've worked with taxonomy and ontology. Highlight any experience you have with SQL, SPARQL, or Cypher, as this could set you apart from other candidates. Concrete examples will help demonstrate your expertise.
✨Understand the Role of AI
Familiarise yourself with how Generative AI works and be prepared to discuss common failure modes like hallucinations. Understanding the importance of ground-truth data in training will show that you’re not just technically savvy but also aware of the broader implications of your work.
✨Communicate Clearly
Since you'll be the primary point of contact for various teams, practice articulating your thoughts clearly and concisely. Prepare to explain complex concepts in simple terms, as effective communication is key to collaborating with Product, Engineering, and Analytics teams.
