General AfterQuery Expert (Data Annotator)

Job summary

Review, label, and evaluate text, documents, model outputs, and domain-specific content using project guidelines and professional expertise. Provide structured, reasoned annotations with citations, document decisions consistently, and flag ambiguous or out-of-scope samples.

Job details

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 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

What you’ll do

Review, label, and evaluate text, documents, model outputs, and domain-specific content using project guidelines and professional expertise. Provide structured, reasoned annotations with citations, document decisions consistently, and flag ambiguous or out-of-scope samples.

Requirements

Requires at least three years of professional experience in a specialized domain, strong analytical and critical-thinking skills, and excellent written communication. Candidates must work independently, follow detailed guidelines, and maintain accuracy; annotation experience, relevant advanced education or certification, and experience writing structured analyses are preferred.

Benefits

• Flexible Schedule
• Professional Portfolio Building
• Professional Growth

Listed skills

• Critical Thinking · Preferred
• written communication · Preferred
• Accuracy · Preferred
• Technical Documentation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Annotation
• Domain-Specific Expertise
• Analytical Thinking
• Critical Thinking
• Professional Judgment
• Written Communication
• Structured Labeling
• Content Evaluation
• Citation-Supported Analysis
• Quality Assessment
• Accuracy
• Following Guidelines
• AI Model Evaluation
• Technical Documentation

Job areas

• Data & Analytics
• Technology
• Software

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