Head of Data Labeling

ABOUT US White Circle https://whitecircle.ai/ 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 -