Content Strategist (Knowledge Graph/Taxonomy) - Reddit Ireland

Content Strategist – Knowledge Graph / Taxonomy

Location: Ireland (Remote)

Contract: 6 Months (Possible Extension)

We are supporting a leading global online platform looking for a Knowledge Graph Curator / Ontologist / Taxonomist to help improve how content is classified, structured and understood at scale.

This role sits at the intersection of Knowledge Graphs, taxonomy, ontology, metadata, structured data and AI-assisted content understanding. The successful candidate will work with large-scale content and entity datasets, helping improve how automated systems interpret online conversations, topics and concepts.

The role involves human-in-the-loop review of AI-generated data, applying human judgment to validate, correct and improve automated outputs.

What You'll Be Doing

• Curate, maintain and improve entities, attributes and relationships within a large-scale Knowledge Graph.
• Support taxonomy and ontology updates across structured content domains.
• Review and validate AI / LLM-generated outputs, correcting inaccuracies, ambiguity, duplication, hallucinations and classification issues.
• Maintain metadata quality, classification standards and structured data consistency.
• Support content classification, tagging, annotation and quality assurance workflows.
• Help create and maintain benchmark datasets / golden sets used to evaluate content-understanding models.
• Investigate data-quality issues, duplicate entities and conflicting relationships and make appropriate corrections.
• Manage and prioritise incoming entity, taxonomy and schema requests from internal stakeholders based on business impact, urgency and data quality.
• Work closely with Product, Engineering, Analytics and Data Science teams on entity, schema and content-modelling requests.
• Provide feedback that helps improve automated classification and content-understanding systems.

What We're Looking For

We’re particularly interested in candidates with hands-on experience in one or more of the following:

• Ontology design or ontology maintenance
• Taxonomy creation, management or governance
• Knowledge Graph curation / development
• Metadata management / metadata governance
• Structured data / semantic data / entity modelling
• Content classification / tagging / annotation
• AI or LLM output review / validation
• Data quality, QA or classification consistency

Candidates do not need to be highly technical Knowledge Graph engineers. Strong practical experience in taxonomy, data curation, classification, annotation or structured content is highly relevant.

Useful Technical / Tooling Experience

• SQL, SPARQL, Cypher or similar querying tools
• Excel / Google Sheets
• Jira or similar ticketing systems
• Annotation / data-labelling platforms
• Knowledge Graph, taxonomy or metadata tools
• AI / LLM evaluation or prompt-related workflows

Likely Relevant Backgrounds

• Ontologist
• Taxonomist
• Knowledge Graph Analyst / Curator
• Metadata Specialist
• Structured Data Specialist
• Information Architect
• Content Classification Specialist
• Search Relevance Analyst
• AI Data Specialist
• Data Curator / Data Quality Analyst

Experience Level

The role is best suited to junior-to-mid-level professionals, typically with around 2–6 years of relevant experience.

We are also open to candidates with less experience where they have strong hands-on exposure to taxonomy, data curation, annotation, structured data or AI/LLM evaluation.

Please Note

This is not a traditional content marketing, copywriting or social media role.

We are specifically looking for candidates with experience in structured content, taxonomy, ontology, metadata, knowledge graphs, data curation, classification or AI-assisted content understanding.