Job description
Job Title: Content Strategist
Location: United Kingdom (100% Remote)
Duration: Ongoing Contract
Industry: AI / Machine Learning / Digital Platforms
About the Role
We are looking for a highly detail-oriented Knowledge Graph Curator to join a cutting-edge team building advanced AI-driven content understanding systems. This role sits at the intersection of Artificial Intelligence, data modeling, and human expertise, where you will help structure and validate the data that powers large-scale machine learning models.
As a key contributor, you will work closely with product, engineering, and data teams to expand and maintain a Knowledge Graph of entities and relationships, ensuring the highest level of data accuracy and consistency. You will review and validate AI-generated outputs, curate structured datasets, and play an essential role in improving how automated systems interpret and classify digital content at scale.
This is an exciting opportunity for someone passionate about semantic data, AI automation, and building intelligent data systems that drive real business impact.
Key Responsibilities
- Manage and prioritize requests from cross-functional teams for new entities, attributes, and schema updates within the Knowledge Graph
- Review and validate entities generated by Large Language Models (LLMs), approving accurate outputs and correcting inconsistencies
- Perform quality assurance on large datasets to ensure adherence to established taxonomy and ontology standards
- Participate in data labeling and entity classification exercises to create high-quality training datasets for machine learning models
- Investigate and resolve data integrity issues such as duplicate entities, incorrect relationships, or missing attributes
- Work as a human-in-the-loop expert, ensuring automated systems produce reliable and accurate structured data
- Collaborate with product and engineering teams to provide feedback that improves AI model performance and data pipelines.
Required Skills:
- Strong understanding of Knowledge Graph fundamentals (nodes, edges, relationships, and properties)
- Experience with taxonomy, ontology, or semantic data organization
- Experience with data labeling, entity extraction, or AI training datasets
- Familiarity with Generative AI / LLM workflows and common challenges such as hallucinations
- Excellent analytical thinking and exceptional attention to detail
- Ability to work with large datasets and structured data systems
- Experience with SQL, SPARQL, or Cypher is a strong plus
- Comfortable working with tools such as Jira, Excel, or Google Sheets… more
