Queue Lead - MX
Prolific Participants · Remote · Data annotation / labeling
Queue Lead - MX is an open role at Prolific Participants, available remotely.
Applications open on Prolific Participants’ own site. How we make money.
At a glance
- Pay
- Not disclosedProlific Participants doesn't publish a rate for this listing
- Location
- Remote
- Work type
- Data annotation / labeling
- Listed
- Since Oct 8, last confirmed Oct 23
From Prolific Participants’ listing
“Queue Lead Start date: 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 Lead to join a high-priority initiative in partnership with a leading AI company.”
Show the full listing
Queue Lead Start date: 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 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, and 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. What you'll be doing Queue Operations & Task Management 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) Quality Assurance & Performance Management 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. Reporting & Dashboards 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. Training & Support 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
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Frequently asked questions
How do I apply for the Queue Lead - MX role at Prolific Participants?
Applications go through Prolific Participants's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Prolific Participants's access model is "Waitlist" (Join waitlist / register). This listing was first seen here on October 8, 2026 and was still live at the last check.
Is the Queue Lead - MX role at Prolific Participants remote?
Yes - Prolific Participants lists this role as remote.
What does the Queue Lead - MX role at Prolific Participants pay?
Prolific Participants doesn't state a rate on this listing. HumanSourcer never fills that gap with an estimate, so the absence is the source's, not a hole in this page. Prolific Participants's profile shows what its rate-carrying listings do advertise.
What kind of work is Queue Lead - MX?
Data annotation / labeling. Research studies, behavioural data and AI evaluation/training tasks
Is Prolific Participants a legitimate AI-training platform?
Direct participant marketplace and expert network - and that relationship is rated "Confirmed" here because it can be checked against www.prolific.com rather than taken on Prolific Participants's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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