Data Annotator
AfterQuery Experts · Australia and New Zealand
- Hybrid
- Contract
- $100,000 / year
- Australia and New Zealand
Job highlights
- Remote, project-based role for expert practitioners.
- Annotate and evaluate diverse data samples.
- Apply real-world expertise to AI development.
- Exceptional pay and portfolio building opportunities.
- Flexible time commitment on your schedule.
About the role
About the Role
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 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
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
Company Description
AfterQuery 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.Key skills/competency
- Data Annotation
- AI Development
- Domain Expertise
- Content Evaluation
- Analytical Skills
- Critical Thinking
- Written Communication
- Professional Judgment
- Project-Based Role
- Remote Work
Skills & topics
- Data Annotation
- AI
- Machine Learning
- Data Labeling
- Content Review
- Domain Expertise
- Remote Work
- Project-Based
- Data Science
- Artificial Intelligence
How to get hired
- Tailor your resume: Highlight 3+ years of specialized domain experience and analytical skills.
- Showcase your expertise: Emphasize written communication and ability to apply professional judgment.
- Highlight relevant experience: Mention any data annotation or AI evaluation work.
- Follow guidelines: Demonstrate ability to work independently and maintain accuracy.
- Express interest: Clearly articulate your domain expertise and eagerness to contribute.
Technical preparation
Familiarize yourself with annotation platforms.,Understand common data labeling frameworks.,Review AI model evaluation concepts.,Practice structured writing and citation.
Behavioral questions
Describe a complex judgment call.,How do you handle ambiguity?,How do you ensure accuracy?,How do you manage your time?
Frequently asked questions
- What kind of professional experience is AfterQuery looking for in a Data Annotator?
- AfterQuery is seeking professionals with at least 3 years of experience in any domain that requires specialized expertise. This can include fields like law, medicine, engineering, finance, science, or similar areas where deep, hands-on knowledge is critical. The goal is to leverage your real-world expertise for data annotation tasks.
- Is the Data Annotator role at AfterQuery full-time or part-time?
- This role is described as a project-based position with a flexible time commitment, allowing you to work on your schedule. While it offers exceptional pay, it's structured to accommodate professionals who may have other commitments, suggesting it is not a traditional full-time role but rather adaptable to your availability.
- What are the main responsibilities of a Data Annotator at AfterQuery?
- As a Data Annotator, your primary responsibilities include reviewing and annotating various data samples (text, documents, model outputs) using provided guidelines. You will apply your domain-specific knowledge to evaluate content accuracy and quality, provide reasoned justifications for your annotations, and document your decisions meticulously.
- What technical skills or platforms are preferred for the Data Annotator role?
- While not strictly required, prior experience with data annotation platforms, content review, or AI model evaluation workflows is preferred. Familiarity with structured labeling tools can be beneficial. The role emphasizes strong analytical and communication skills over specific software proficiency.
- How does AfterQuery support professional growth for Data Annotators?
- AfterQuery supports professional growth by offering exposure to cutting-edge AI development workflows and allowing you to apply your domain expertise in a novel context. Contributing to real-world AI projects also serves as a strong addition to your professional portfolio, enhancing your career development.
- What makes the pay exceptional for the Data Annotator role at AfterQuery?
- The pay is considered exceptional because the role specifically seeks experienced practitioners with deep domain expertise. Your specialized knowledge is highly valued for its contribution to AI development, and the compensation reflects the unique skill set and judgment required for these critical annotation tasks.
- Can someone with a background in creative arts apply for this Data Annotator position?