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Data labelling analyst – integrity harms

Dublin
RECRUITERS
Analyst
Posted: 18 May
Offer description

Data Labelling Analyst – Integrity Harms (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 elevate 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
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.
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