Head of Data Labeling

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Description

About us White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others We process over 100M+ API calls every month We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven. In this role, you will Build from scratch and lead the Data Labeling team (hiring, coaching, and performance management) Define annotation guidelines, quality standards, and evaluation frameworks Develop quality assurance processes, calibration sessions, and auditing systems Partner with AI researchers and engineers to translate research objectives into labeling workflows Prioritise labeling projects based on business and research needs Monitor operational metrics including quality, consistency, throughput, and cost Improve annotation tooling, automation, and workflow efficiency Lead complex AI evaluation projects, including safety, preference ranking, RLHF, policy evaluation, and benchmark creation Analyse disagreement patterns and edge cases to improve guidelines and model performance Manage vendor relationships and ensure consistent quality across distributed teams Build reporting dashboards and communicate operational insights to leadership Foster a culture of continuous improvement, accountability, and operational excellence We're looking for someone who Has experience leading data annotation or AI evaluation

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