DataLabeler

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 one hundred million 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 a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. IN THIS ROLE, YOU WILL - Review and evaluate AI conversations and model outputs - Assess responses for safety, quality, accuracy, policy compliance, and user intent - Identify harmful, unsafe, misleading, or low-quality behavior - Label and categorize model outputs according to internal evaluation frameworks - Moderate sensitive content and identify policy violations - Compare, rank, and score model responses - Investigate edge cases and ambiguous situations - Provide structured feedback to researchers and engineers - Help improve evaluation guidelines and annotation processes - Contribute to the datasets used to train and evaluate AI systems WE'RE LOOKING FOR SOMEONE WHO - Has exceptional attention to detail - Can make consistent decisions across large volumes of data - Enjoys analysing nuanced situations where there isn't always a clear answer - Can follow guidelines while exercising good judgment - Has strong written English skills - Communicates clearly and explains reasoning well - Is curious about AI and how these systems work YOU MIGHT BE A GREAT FIT IF YOU - Have experience with content moderation, trust & safety, qu