General AfterQuery Expert (Data Annotator)

About this opportunity

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.

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

Why apply:
• Flexible Time Commitment – Work on your schedule while contributing meaningful domain expertise
• 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

Check the original posting for the complete requirements and current terms before applying. Applications are handled by AFTERQUERY.