Queue Manager / Annotation Lead with Trust & Safety Background (AI Data Ops) - DP

About this role

Queue Manager / Annotation Lead with Trust & Safety Background (AI Data Ops) Start date: Immediate / TBC End Date: TBC Location: Remote Type of contract: Freelance Languages required: English Hourly Rate: Include the rate you are comfortable with on your CV. The Role We are seeking a Queue Manager / Annotation Lead to join a high-priority initiative in partnership with a leading AI company. You will own day-to-day execution for one or more annotation queues, keeping work flowing, quality on target, and stakeholders unblocked - balancing throughput, SLAs, and accuracy in a live human-data pipeline. In short, the role involves owning day-to-day execution of one or more annotation queues - managing intake, prioritization, and SLAs, running QA and calibration to keep quality on target, training and supporting annotators, and tracking key metrics like throughput and rework rates. For this particular opening, we're specifically looking for candidates with a trust & safety / integrity background - someone who can tell when responses are shallow, low-effort, or phoned-in, and who can keep queues healthy on quality, not just catch bad actors. Think signal-quality analyst rather than a general queue lead. What you'll be doing Queue Operations & Task Management Manage work queue: intake, triage, prioritization, task assignment, and SLA delivery Monitor task queue and backlog control Identify and troubleshoot bottlenecks (unclear policy, tooling issues, supply gaps) Quality Assurance & Performance Management Perform QA: make corrections, provide annotator feedback, flag systematic confusion to Client Delivery Lead Monitor quality at project and individual annotator levels Drive guideline adherence, run calibration sessions, reduce rework Manage annotator performance: unassign underperformers, identify high-performers Training & Support Train new annotators on project guidelines Conduct live or recorded webinars as participants join a project Host "office hours” for participants