Remote opportunity for data engineers with AI coding agent experience to evaluate AI-generated ETL pipelines, data infrastructure, warehouse architectures, and distributed data systems while contributing to frontier AI model benchmarking.
Knowledge Graph Curator (Knowledge Graph, Data Labeling, LLMs)
Remote (Global)
Competitive Compensation
June 18, 2026
Job description
About the Role
A technology company focused on advanced content understanding systems is seeking a Knowledge Graph Curator to support the growth, maintenance, and quality of a large-scale knowledge graph.
The role involves working with machine learning systems, knowledge graphs, AI-generated content, and data labeling workflows to help improve content understanding and automation systems at scale.
Responsibilities include onboarding new entities, validating AI-generated data, handling stakeholder requests, performing data annotation activities, and maintaining data quality across the knowledge graph ecosystem.
Responsibilities
- Support the growth and maintenance of a large-scale knowledge graph
- Onboard and curate new entities and relationships
- Review, validate, edit, and improve AI-generated outputs
- Manage stakeholder requests and operational workflows
- Perform data labeling, annotation, and quality assurance
- Investigate data quality issues and resolve inconsistencies
- Maintain data integrity and semantic consistency
- Contribute to training datasets, golden datasets, and evaluation frameworks
- Collaborate with Product, Engineering, Analytics, and Data Science teams
- Support continuous improvement of content understanding and automation systems
Required Skills
Knowledge Graph and Semantic Modeling
- Knowledge graph concepts
- Entity relationships, nodes and edges, ontologies, taxonomies
- Semantic modeling and data categorization
Data Operations
- Data curation, data entry, data labeling, annotation, quality assurance, data validation
AI and Machine Learning
- Familiarity with Large Language Models (LLMs)
- Prompt tuning concepts
- Understanding of AI failure modes such as hallucinations, incorrect entity linking, and data inconsistencies
Analytical and Operational Skills
- Prioritization and workflow management
- Task backlog management and business impact assessment
- Data investigation and troubleshooting
- Strong attention to detail
Communication
- Ability to work with both technical and non-technical stakeholders
- Strong written and verbal communication skills
Bonus Skills
- SQL, SPARQL, Cypher
- Graph databases and semantic web technologies
- Entity extraction and information retrieval systems
- Recommendation systems, marketplace platforms, advertising technology
Preferred Experience
- Machine learning products, AI-powered products, model evaluation
- Classifier performance metrics
- Collaboration with Product, Engineering, Analytics, and Data Science teams
Offer Details
- Full-time employment via Employer of Record (EOR) engagement
- Fully remote
- 40 hours per week
- Required overlap with a UK-based team
Benefits
- Competitive compensation package
- Professional growth opportunities
- Career development support
- Collaborative and innovative work environment
Apply now
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