Data Annotator

Data Annotator

Location: Fully Remote

Contract: 12 month contract

We’re looking for a Data Annotator to support e-commerce initiatives within a growing product catalog and data organisation. This role sits at the intersection of product data, taxonomy design, and machine learning enablement, playing a key part in improving how product (e.g., brand, category, attributes) is structured, enriched, and normalised to support scalable digital experiences.

You’ll work closely with cross-functional teams including engineers, data scientists, and product stakeholders to ensure high-quality taxonomy design that enables search, discovery, ML models, and downstream catalog initiatives.

• Enrich and normalise product metadata (e.g., brand, category, attributes) into a unified product taxonomy
• Perform detailed data analysis (using Excel, Google Sheets, and/or scripting languages) to identify exact and fuzzy matches across vocabularies
• Research internal and external sources to enrich taxonomy nodes
• Support cross-taxonomy mapping, vertical expansion, and front-end taxonomy design
• Collaborate with engineering to support model understanding through annotation and evaluation of model outputs
• Implement taxonomy updates in line with governance guidelines and standards
• Provide regular status updates on progress, risks, issues, and opportunities to stakeholders

Essential:

• 2+ years’ experience developing taxonomies and/or ontologies for front-end and back-end systems
• Experience building taxonomies or product classification structures for e-commerce
• Experience researching and defining taxonomy using established standards
• Strong attention to detail and passion for structured, high-quality data
• Confident communicator able to explain taxonomy principles and standards to varied audiences
• Proactive, self-starting approach with strong ownership of workstreams
• Comfortable collaborating cross-functionally and building relationships with partners

Nice to Have:

• Master’s degree in Library Science, Information Management, or similar
• Experience analysing large datasets using SQL or other query languages
• Experience building taxonomies to support machine learning classification systems
• Familiarity with AI tools, prompt engineering, or supporting ML workflows

To hear more about this position or to discuss your suitability to please reach out to Sam Sullivan for a confidential chat on 01 632 5027or email your CV to sam.sullivan@recruiters.ie Your CV will not be sent to any third party without your consent. The closing date is 4th of February at 12pm.

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