Data Annotator

This is a remote, project-based role for experienced practitioners across any professional domain who can apply their real-world expertise to data annotation tasks. You will review, label, and evaluate data samples — including text, documents, model outputs, and domain-specific content — providing expert judgment, structured annotations, and reasoned assessments that require genuine hands-on professional experience. This position offers exceptional pay, exposure to cutting-edge AI development workflows, and a strong addition to your professional portfolio.Why ApplyFlexible Time Commitment: work on your schedule while contributing meaningful domain expertiseCompetitive Pay: $25–$60/hour depending on project and expertisePortfolio Building: gain experience contributing expert knowledge to real-world AI and data projectsResponsibilitiesReview, label, and evaluate data samples spanning text, documents, and model outputsProvide expert judgment, structured annotations, and reasoned assessmentsDeliver clear, consistent, well-documented work independentlyRequired QualificationsHands-on professional experience in at least one professional domainStrong attention to detail and consistent, reliable judgmentClear written communicationCompany DescriptionAfterQuery is a research lab investigating the boundaries of artificial intelligence through novel datasets and experimentation. We're backed by top investors, including Y Combinator and Box Group, and support all leading AI labs.