Taxonomy&Ontology Expert

<div><h3>Overview</h3><p>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.</p><p><b>Role Overview</b></p><p>Our client is a<b>large-scale, high-traffic social content platform</b>whose Ads Content Understanding team builds the core engine for<b>accurate, interpretable understanding of organic and paid content</b>. Using<b>applied ML</b>and a robust<b>Knowledge Graph (KG)</b>, the team extracts high-quality, monetization-focused signals that power ads performance and business insights at scale.</p><p>We are seeking a<b>Knowledge Graph Curator / Expert</b>to grow and curate<b>Knowledge Graph of entities and relationships</b>. The role sits at the intersection of<b>AI automation and human judgment</b>, managing partner team requests while proactively shaping the KG to ensure<b>high fidelity, relevance, and connectivity</b>. As the<b>human-in-the-loop</b>, you will validate<b>LLM-generated entities</b>and ensure the graph remains the<b>source of ground truth</b>for the business.</p><p><b>Locations</b>: 100% Remote - Armenia, Bulgaria, Croatia, Egypt, Hungary, Poland, Romania, Slovenia, UAE, UK, Ireland, Netherlands</p><p><b>Contract</b>: 12-18 months contract or FTE</p><p><b>Note</b>: This is not a job for an engineer (Data Scientist, AI/ML). This is a Data Analyst/Entry type of role.</p><h3>About The Team</h3><p>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.</p><p>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.</p><p>Our platform fuels high-impact features: enterprise search, user feed ranking, and content understanding— all at<b>B2C scale (10M+ DAU)</b>.</p><h3>Key Responsibilities</h3><ul><li>Onboard new entities into the Ads team Knowledge Graph, ensuring alignment with defined schemas and ontologies</li><li>Serve as the primary point of contact for Product, Engineering, and Analytics teams requesting entity additions or schema changes</li><li>Prioritize and triage incoming requests based on business impact, urgency, and technical feasibility</li><li>Perform data entry and labeling to support automated content understanding pipelines</li><li>Tune and refine LLM prompts to improve content understanding automation</li><li>Review and curate LLM-generated entities, approving high-confidence outputs, correcting near-misses, and rejecting hallucinations</li><li>Execute rigorous QA and validation to ensure ontological consistency and factual accuracy</li><li>Create Golden Sets via targeted labeling to assess model quality and support classifier and extraction model fine-tuning</li><li>Investigate and resolve data integrity issues, including error correction, duplicate entity merging, and relationship conflict resolution</li><li>Provide clear stakeholder feedback, status updates, and modeling rationale, and guide teams on effective Knowledge Graph querying</li></ul><h3>Requirements</h3><ul><li>3+ years of experience with Knowledge Graph</li><li>Strong Understanding of graph concepts (Nodes, Edges, Properties)</li><li>Experience with Taxonomy&Ontology - Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities</li><li>Proficiency in navigating complex datasets</li><li>Experience with SQL, SPARQL, or Cypher is a strong plus</li><li>Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground-truth data in training</li></ul></div>#J-18808-Ljbffr