English (UK) Data Labeling Associate - California based

Evaluate AI model outputs and provide structured, high-quality feedback

Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes

Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios

Contribute to improving evaluation frameworks, not just executing them

Identify trends in model performance and communicate insights clearly

Participate in team discussions, calibrations, and stakeholder syncs

Partner with leads and cross-functional teams to refine quality standards

Document findings in a clear, concise, and actionable way

What You’ll Need

• Native-level British English proficiency and a university degree (Bachelor’s or higher)
• 1–2 years of professional writing experience with strong, structured writing skills
• Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
• Strong critical thinking and attention to detail
• Naturally curious about AI, technology, and how systems behave
• Comfortable speaking up, asking questions, and contributing ideas
• Strong written and verbal communication skills
• Experience in data quality, QA, annotation, or analysis is helpful — but not required