Knowledge Graph Curator

Knowledge Graph Curator (Contract) | Fully remote (UK based only) | 6 months contract with possible extension | £2800 per month PAYE

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.

Note: Candidates must demonstrate proven hands-on experience with Knowledge Graph Curation, clearly evidenced throughout their CV.

This role is ideal for someone with a strong understanding of structured data, taxonomy management, and entity curation, combined with a passion for data quality and accuracy.

Key Responsibilities

• Create new Knowledge Graph entities and maintain existing ones by updating titles, descriptions, relationships, taxonomy domains, and metadata.
• Review and validate automated entity suggestions generated by AI/ML systems, accepting, refining, or rejecting candidates as appropriate.
• Process onboarding requests from internal stakeholders and external partners while meeting established service-level expectations.
• Apply curation standards and governance guidelines to ensure data consistency, accuracy, de-duplication, and production readiness.
• Identify data quality issues, suggest process improvements, and report system bugs or enhancement opportunities.
• Collaborate with technical and non-technical teams to improve Knowledge Graph coverage and quality.

Required Skills & Qualifications

• Experience working with Knowledge Graphs, ontologies, taxonomies, metadata systems, or large structured datasets.
• Strong analytical and problem-solving abilities with exceptional attention to detail.
• Ability to identify ambiguities, inconsistencies, and incorrect entity attributions.
• Excellent communication and collaboration skills.
• Comfortable working with spreadsheets, structured data tools, and content management systems.
• Ability to manage multiple priorities while maintaining high data quality standards.

If you enjoy working at the intersection of data quality, AI systems, and knowledge modeling , this could be an exciting next step in your career