Data Labelling Analyst- Globel Tech

We are hiring Data Labelling Analysts to join a leading global technology organisation within its Integrity Operations team . This is an exciting opportunity to contribute to the development and improvement of AI systems designed to help identify and address misleading content and online harms. The role combines hands-on content labelling with analytical work, including identifying trends in Large Language Model (LLM) performance, spotting issues and collaborating with Engineering, Policy and Operations teams to improve systems and processes.

The Offer

• Location: Ireland
• Fully onsite
• Contract: 11 months
• Salary: €73,000

Key Responsibilities

• Review, assess and accurately label online content in line with relevant content policies and guidelines.
• Support AI model training and evaluation by producing high-quality, consistent labels.
• Analyse content and labelling trends to identify patterns, quality issues and opportunities for improvement.
• Monitor LLM performance and help identify bugs, inconsistencies and areas where system prompts or models could be improved.
• Work closely with Engineering, Policy, Data Science and Operations teams to support improvements to content review processes and detection systems.
• Analyse data to develop meaningful insights and make recommendations that improve operational performance and decision quality.
• Support ad hoc analytical and operational projects, communicating findings clearly to both technical and non-technical stakeholders.
• Contribute to process improvements that enhance efficiency, accuracy and quality across Integrity Operations.

Requirements

• 4+ years’ experience in an operational, analytical, technology, policy or strategy-focused role.
• Experience working with content labelling, content quality, data annotation or similar processes is highly desirable.
• Strong analytical and problem-solving skills, with the ability to identify trends and draw meaningful insights from data.
• Experience using SQL and data visualisation tools .
• Familiarity with AI tools, LLM evaluation or AI-assisted workflow improvements is a plus.
• A bachelor’s degree or equivalent advanced degree.

Apply today!

For a confidential discussion, contact Emma O’Connell on +353 1 632 5032 or email your CV to [email protected].

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