We are partnering with a technology company focused on building advanced content understanding systems that leverage machine learning, knowledge graphs, and AI-driven automation to generate actionable insights at scale. The team is seeking a Knowledge Graph Curator to support the growth, maintenance, and quality of a large-scale knowledge graph by onboarding new entities, validating AI-generated data, managing stakeholder requests, performing data labeling activities, and contributing to the continuous improvement of content understanding and automation systems.

Required Skills

• Strong understanding of Knowledge Graph concepts, including nodes, edges, properties, and entity relationships
• Experience with taxonomy management, ontology design, data categorization, and semantic modeling
• Excellent data entry and data curation skills with a high degree of accuracy and attention to detail
• Experience with data labeling, annotation, and quality assurance workflows
• Familiarity with Large Language Models (LLMs), prompt tuning, and common AI failure modes such as hallucinations
• Ability to review, validate, edit, and curate AI-generated outputs
• Strong analytical and prioritization skills with the ability to assess business impact and urgency
• Experience managing task backlogs, requests, or operational workflows
• Ability to investigate data quality issues, resolve inconsistencies, and maintain data integrity
• Excellent communication skills and ability to collaborate with technical and non-technical stakeholders
• Comfortable working with ticketing systems, spreadsheets, and internal tooling
• Experience creating training datasets, golden sets, or evaluation frameworks for machine learning systems

Bonus Skills

• Experience with SQL, SPARQL, Cypher, or other data querying languages
• Background working with knowledge graphs, graph databases, or semantic web technologies
• Experience supporting machine learning or AI-powered products
• Familiarity with content classification, entity extraction, or information retrieval systems
• Experience working with advertising, marketplace, or recommendation systems
• Experience collaborating closely with Product, Engineering, Analytics, or Data Science teams
• Understanding of model evaluation methodologies and classifier performance metrics

Offer Details

• Full-time, employer of record
• Remote only, full-time dedication (40 hours/week)
• Required overlap with UK-based team
• Competitive compensation package.
• Opportunities for professional growth and career development.
• Dynamic and inclusive work environment focused on innovation and teamwork