Data Labeler

Tech Stack

Responsibilities

• Review and evaluate AI conversations and model outputs for safety, quality, accuracy, policy compliance, and user intent.
• Identify harmful, unsafe, misleading, or low-quality behavior and moderate sensitive content.
• Label and categorize model outputs according to internal evaluation frameworks.
• Provide structured feedback to researchers and engineers and help improve evaluation guidelines.
• Contribute to the datasets used to train and evaluate AI systems.

Benefits

• Equity

Culture