Data Annotator

Job DescriptionThis 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 expertiseExceptional PayPortfolio Building – Gain experience contributing expert knowledge to real-world AI and data projectsProfessional Growth – Apply your domain expertise in a novel, high-impact context at the frontier of AI developmentResponsibilitiesReview and annotate data samples — including text, documents, and model-generated outputs — using structured labeling frameworks and annotation guidelinesApply domain-specific expertise to evaluate the accuracy, quality, and appropriateness of content requiring professional judgmentProvide detailed reasoning, justifications, and source citations to support annotation decisionsFlag ambiguous, inconsistent, or out-of-scope samples and escalate with clear written explanationsDocument annotation decisions consistently and reproducibly in line with project-specific guidelinesRequired Qualifications3+ years of professional experience in any domain requiring specialized expertise (e.g., law, medicine, engineering, finance, science, or similar)Strong analytical and critical thinking skills with the ability to apply professional judgment to complex, nuanced contentExcellent written communication skills and ability to produce clear, structured, citation-supported annotationsAbility to work independently, follow detailed guidelines, and maintain high accuracy across large volumes of review tasksPreferred QualificationsPrior experience with data annotation, content review, or AI model evaluation workflowsFamiliarity with annotation platforms and structured labeling toolsAdvanced degree or professional certification in a relevant domainExperience producing structured written analyses, legal memos, research reports, or technical documentation in a professional settingCompany 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.