Posted Oct 11, 2026

AI Training - Side by Side Factuality Evaluator (US - Remote)

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We are working with a leading AI Data Training Lab and are looking for detail-oriented English-fluent experts based in the US to help improve the accuracy of leading AI models. You will review AI-generated responses on a wide range of topics, break them down into individual claims, and use online research to check whether each claim holds up. This is a fully remote, flexible project for people who enjoy research and getting the facts right. • Duration: 3 months • Start Date: From 13 October 2026 • Pay rate: $16.66 per hour • Location: Remote but must be based in the United States What you will do • Review AI-generated responses on a wide range of topics • Break responses into individual, verifiable claims • Research each claim online and find credible, authoritative sources • Decide whether each claim is accurate, inaccurate or unverifiable, paying close attention to small differences in wording • Make independent, evidence-based calls, including in ambiguous cases • Follow detailed evaluation guidelines and record clear, consistent decisions with supporting evidence What we are looking for • Fluent English, with strong reading comprehension and writing skills • Strong critical-thinking and analytical skills • Strong web research skills and the ability to tell reliable sources from unreliable ones • Close attention to detail, especially when spotting individual claims and subtle wording differences • Comfortable researching many kinds of topics, including unfamiliar ones • Able to understand detailed instructions and apply them consistently How onboarding works • Sign Up: If you are selected after applying, we will send you a separate email link to sign up for the project. Please respond here as a first step. • Statement of Work: if you are eligible, you will be sent a Statement of Work (SoW) • Certification: complete a certification assessment and meet the required pass rate • Production: once certified, you will move into active task pools