[Hiring] Queue Lead @Prolific Academic

Role Description

We are seeking a Queue Lead to join a high-priority initiative in partnership with a leading AI company. This is an operational, hands-on role, you will own day-to-day execution for one or more annotation queues on a live AI training/eval program:

• Managing throughput
• Running quality calibrations
• Tracking contributor performance
• Building out reporting systems that keep stakeholders informed in real time

You will have experience running queues and quality on AI data programs. The selected candidate will be able to speak to specific projects, calibration processes they’ve built, and contributor performance systems they’ve run.

Qualifications

• Proven, direct experience running queues and quality on AI data programs, ideally at a competitor
• 3+ years in high-throughput ops (data labeling, trust & safety, BPO, content ops, CX ops), with recent, specific AI data ops experience
• Able to identify shallow, low-effort, AI-generated, or phoned-in responses
• Proven ability to design and run calibration processes from scratch
• Ability to track record by building or maintaining dashboards or reporting systems (spreadsheets is required, SQL/BI/Looker/Tableau a strong plus)
• Experience managing contributor performance at scale including making retention or removal decisions
• Comfortable with ambiguity and fast-changing priorities on live programs

Requirements

• Own work queues: intake, triage, prioritization, task assignment, and SLA delivery
• Monitor task queue and backlog control
• Identify and troubleshoot bottlenecks (unclear policy, tooling issues, supply gaps)
• Monitor quality at project and individual annotator or contributor level
• Perform QA tasks such as making corrections, providing annotator feedback, flagging systematic confusion and suggestions to team lead
• Manage annotator or contributor performance by performing tasks like unassigning underperformers, identifying and retaining high-performers
• Build and maintain dashboards to track throughput, disagreement rates, defect or rework rates, and contributor performance
• Turn raw queue data into clear, actionable reporting for stakeholders
• Provide feedback for process improvements based on data trends
• Oversee dedicated Slack channels by answering participant questions, providing support, and escalating complex issues to the Client Delivery Lead
• Train new annotators or contributors on project guidelines
• Conduct live or recorded webinars as new participants join projects
• Host "office hours" for participants

Benefits

• Competitive pay rates
• Flexible hours
• Ability to work from home