Knowledge Graph Curator (Knowledge Graph, Data Labeling, LLMs)

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

About Turing

Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. They connect elite AI professionals with frontier model training projects, offering competitive compensation for domain expertise across coding, STEM, creative writing, and more.

How To Apply

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