Content Strategist

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