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 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

  Apply for this role →

  Opens the employer's application page