Data Annotation & Labeling Operations Lead

Job description: We're 8x. We've built one of the fastest-growing human networks in the world (60K+ people in 5 months) plus an AI layer that orchestrates their work. We're opening a data labeling line and need someone to stand it up. This is a build role, not a labeling role. You'll turn our human supply and a set of annotation projects into a reliable, high-quality delivery engine. What you'll do: Do market research and commercialisation. Design annotation workflows: guidelines, edge cases, gold sets, QA/review. Set and enforce quality benchmarks (accuracy, agreement, throughput). Recruit, onboard, and manage a labeling team; build the feedback loop. Pick and configure tooling (Label Studio, CVAT, Labelbox, or similar). Own a first paid pilot end to end: scope, timeline, per-unit cost, quality. You're a fit if you: Have run or closely supported annotation work (text, image, audio, or RLHF) - depth matters more than years. Know QA methods (gold sets, consensus, audit sampling) and at least one annotation tool. Can manage a distributed team and hit accuracy and throughput together. Write clearly enough to make guidelines a non-expert can follow. Bonus: RLHF / LLM preference data, model eval, or a background at a labeling vendor (Scale, iMerit, Sama, Surge, Appen). Engagement: Part-time contract (10-20 hrs/week) for the pilot, path to a larger role if it works. Remote, async-friendly, some European-hours overlap preferred. Include your rate in your proposal. Apply with: A labeling project you ran or supported - task, team size, accuracy/throughput. How you measure and enforce annotation quality. Rough per-unit cost to label 10,000 short text items, and how you got there.