General AfterQuery Expert (Data Annotator)

Responsibilities - Review and annotate data samples — including text, documents, and model-generated outputs — using structured labeling frameworks and annotation guidelines - Apply domain-specific expertise to evaluate the accuracy, quality, and appropriateness of content requiring professional judgment - Provide detailed reasoning, justifications, and source citations to support annotation decisions - Flag ambiguous, inconsistent, or out-of-scope samples and escalate with clear written explanations - Document annotation decisions consistently and reproducibly in line with project-specific guidelines

Required qualifications - 3+ 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 content - Excellent written communication skills and ability to produce clear, structured, citation-supported annotations - Ability to work independently, follow detailed guidelines, and maintain high accuracy across large volumes of review tasks

Preferred qualifications - Prior experience with data annotation, content review, or AI model evaluation workflows - Familiarity with annotation platforms and structured labeling tools - Advanced degree or professional certification in a relevant domain - Experience producing structured written analyses, legal memos, research reports, or technical documentation in a professional setting

Why apply - Flexible Time Commitment – Work on your schedule while contributing meaningful domain expertise - Exceptional Pay - Portfolio Building – Gain experience contributing expert knowledge to real-world AI and data projects - Professional Growth – Apply your domain expertise in a novel, high-impact context at the frontier of AI development

Employment type: Contract Time commitment: 10 hours/week Location: Remote