Knowledge Graph Curator at Turing

Knowledge Graph Curator | Full-Time | Remote (UK Overlap Required)

Join a cutting-edge technology company building advanced content understanding systems powered by machine learning, knowledge graphs, and AI-driven automation. As a Knowledge Graph Curator, you will play a critical role in growing and maintaining a large-scale knowledge graph — onboarding new entities, validating AI-generated data, managing stakeholder requests, and driving continuous improvements to content understanding and automation pipelines.

Key Responsibilities

• Onboard new entities and maintain the quality and integrity of a large-scale knowledge graph
• Validate, edit, and curate AI-generated outputs, identifying and resolving data quality issues
• Perform data labeling, annotation, and quality assurance across structured workflows
• Manage stakeholder requests and task backlogs, prioritizing by business impact and urgency
• Contribute to the creation of training datasets, golden sets, and evaluation frameworks for ML systems
• Collaborate with technical and non-technical stakeholders across Product, Engineering, and Data Science teams

Required Skills

• Strong understanding of knowledge graph concepts: nodes, edges, properties, and entity relationships
• Experience with taxonomy management, ontology design, data categorization, and semantic modeling
• Proven data entry and curation skills with exceptional attention to detail
• Hands-on experience with data labeling, annotation, and QA workflows
• Familiarity with Large Language Models (LLMs), prompt tuning, and AI failure modes such as hallucinations
• Strong analytical and prioritization skills with a focus on data integrity
• Comfortable working with ticketing systems, spreadsheets, and internal tooling

Bonus Skills

• Experience with SQL, SPARQL, Cypher, or other data querying languages
• Background in graph databases or semantic web technologies
• Familiarity with content classification, entity extraction, or information retrieval systems
• Experience with advertising, marketplace, or recommendation systems
• Understanding of model evaluation methodologies and classifier performance metrics

Offer Details

• Full-time, employer of record engagement
• Fully remote with required overlap with a UK-based team
• 40 hours per week commitment
• Competitive compensation and opportunities for professional growth
• Dynamic, inclusive work environment focused on innovation and collaboration