11-Month Contract (with potential extension)Our client — a global leader in technology and digital communication — is seeking detail‑oriented and analytical Data Labelling Analysts to support a high‑impact Integrity Operations project focused on online safety and user protection.This is an opportunity to work at the forefront of AI training and integrity review, helping improve how technology identifies harmful behaviour, unwanted contact, scams, impersonation, and other safety‑related risks across digital platforms.What You’ll Be DoingReviewing and annotating content to support AI model training and evaluationApplying policy reasoning to make accurate, consistent integrity decisionsCreating and maintaining “golden sets” to measure quality and performanceInvestigating trends, identifying policy gaps, and supporting process improvementsCollaborating with cross‑functional teams to translate insights into operational improvementsWorking in a fast‑paced, target‑driven environment with evolving workflowsWhat We’re Looking For2+ years’ experience in integrity operations, quality assurance, trust & safety, investigations, or related fieldsStrong analytical thinking and written communication skillsExperience working within structured, policy‑led environmentsAbility to rationalise decisions clearly and consistentlyComfortable working to SLAs and productivity targetsResilience when reviewing potentially sensitive or objectionable contentNice to HaveExperience with integrity review tools or content moderation platformsUnderstanding of online safety and integrity best practicesExperience calibrating quality or supporting reviewer performanceThis role is ideal for someone who enjoys critical thinking, investigative work, and contributing to safer digital experiences at scale.
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