Data Annotator
AfterQuery Experts · United Kingdom
- Hybrid
- Contract
- $150,000 / year
- United Kingdom
Job highlights
- Remote, project-based role for expert practitioners.
- Annotate text, documents, and model outputs.
- Apply real-world expertise to AI development.
- Exceptional pay and portfolio building.
- Flexible time commitment for work-life balance.
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 Review
- Quality Assurance
- Critical Thinking
- Written Communication
- Independent Work
- Structured Labeling
- Data Evaluation
Skills & topics
- Data Annotator
- AI
- Machine Learning
- Data Labeling
- Remote Work
- Project-Based
- Domain Expertise
- Content Review
- Data Evaluation
- AfterQuery Experts
How to get hired
- Tailor your resume: Highlight 3+ years of specialized domain experience and relevant AI/data annotation skills.
- Showcase expertise: Emphasize analytical, critical thinking, and clear written communication in your application.
- Demonstrate independence: Mention your ability to follow guidelines and maintain accuracy on large tasks.
- Prepare for interviews: Be ready to discuss your professional judgment and domain-specific knowledge.
Technical preparation
Familiarize with annotation platforms.,Practice structured labeling techniques.,Understand AI model evaluation workflows.,Prepare to cite sources for annotations.
Behavioral questions
How do you apply judgment to complex content?,Describe handling ambiguous data.,How do you ensure annotation consistency?,How do you work independently on tasks?
Frequently asked questions
- What is the work arrangement for the Data Annotator Remote position at AfterQuery Experts?
- The Data Annotator Remote position at AfterQuery Experts is fully remote, allowing you to work from any location.
- What type of experience is required for the Data Annotator Remote role?
- You need at least 3 years of professional experience in a domain requiring specialized expertise, such as law, medicine, engineering, finance, or science.
- What are the main responsibilities of a Data Annotator at AfterQuery Experts?
- You will review, label, and evaluate data samples (text, documents, model outputs), applying your domain expertise to ensure accuracy and quality, and providing detailed reasoning for your annotations.
- Does AfterQuery Experts offer training for their data annotation platform?
- While prior experience with annotation platforms is preferred, the job description emphasizes following detailed guidelines. Familiarity with annotation platforms is a plus, suggesting some self-directed learning or on-the-job familiarization might be expected.
- How does AfterQuery Experts value professional experience in this role?
- Your real-world, hands-on professional experience is central to this role. You'll apply your domain expertise to provide genuine judgment and reasoned assessments for data annotation tasks.
- What is the expected time commitment for the Data Annotator Remote role?
- The role offers a flexible time commitment, allowing you to work on your own schedule while contributing your expertise.
- What kind of AI development exposure can I expect as a Data Annotator at AfterQuery?
- You will gain exposure to cutting-edge AI development workflows by contributing expert knowledge to real-world AI and data projects.
- What is the pay like for the Data Annotator Remote position?
- The position offers exceptional pay, reflecting the specialized expertise required for the data annotation tasks.