Data Labelling Analyst – Integrity Harms

Data Labelling Analyst – Integrity Harms (Contract)

💰 €73,000 per annum (pro rata)

📄 11-month contract

📍 5 days onsite in Dublin (Monday–Friday, 9am–6pm – no remote flexibility)

Large multinational seeking Data Labelling Analysts to join an Integrity Harms team focused on improving AI safety and trust systems. This is a high-impact role supporting the development and evaluation of AI models through expert annotation, policy application, and quality assurance.

About the Role

You will be responsible for delivering high-quality expert labels across integrity-related datasets, including safety and unwanted contact harms. The role plays a critical part in ensuring AI systems are trained and evaluated with accuracy, consistency, and strong policy alignment.

This is a fast-paced, structured environment where precision, judgement, and consistency are essential.

Key Responsibilities

• Apply integrity policies to accurately label and evaluate content for AI training and assessment
• Create and maintain golden datasets to benchmark reviewer and model performance
• Conduct quality assurance checks and calibration across review outputs
• Identify policy ambiguity and escalate gaps to relevant stakeholders
• Contribute to continuous improvement of workflows and labelling processes
• Collaborate with cross-functional teams including policy, operations, and technical stakeholders
• Support onboarding, training, and calibration of new reviewers

What We’re Looking For

• 2+ years’ experience in Trust & Safety, integrity operations, QA, compliance, or investigative roles
• Strong analytical and policy reasoning skills
• High attention to detail and ability to work at scale in a target-driven environment
• Experience working in structured, performance-focused roles
• Strong written communication and ability to articulate policy decisions clearly
• Resilience when working with potentially sensitive or disturbing content

Desirable Experience

• Familiarity with integrity review platforms or moderation tooling
• Background in AI labelling, content moderation, or quality assurance
• Understanding of safety harms, scams, impersonation, and abuse detection workflows

Why This Role?

This is an opportunity to work on cutting-edge AI integrity systems in a high-impact, delivery-focused environment, contributing directly to how AI models learn safety, accuracy, and policy adherence.

You’ll be part of a team focused on quality, precision, and real-world impact in AI safety systems.