Data Annotation Specialist
Review, label, and evaluate diverse data samples including text, documents, and model outputs. Provide structured annotations and reasoned assessments based on professional domain expertise.
- Remote
- Toronto, Ontario, Canada
- Posted Jul 29, 2026
- Apply by Aug 28, 2026
- 1 position
Job summary
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 Competitive Pay: $25–$60/hour depending on project and expertise Portfolio Building: gain experience contributing expert knowledge to real-world AI and data projects Responsibilities Review, label, and evaluate data samples spanning text, documents, and model outputs Provide expert judgment, structured annotations, and reasoned assessments Deliver clear, consistent, well-documented work independently Required Qualifications Hands-on professional experience in at least one professional domain Strong attention to detail and consistent, reliable judgment Clear written communication 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.
What you’ll do
Review, label, and evaluate diverse data samples including text, documents, and model outputs. Provide structured annotations and reasoned assessments based on professional domain expertise.
Requirements
Requires hands-on professional experience in at least one professional domain. Candidates must possess strong attention to detail and clear written communication skills.
Benefits
• Competitive Pay • Flexible Time Commitment • Portfolio Building
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Annotation
- Expert Judgment
- Data Labeling
- Written Communication
- Attention To Detail
- Analytical Thinking
- Domain Expertise
Job areas
- Data & Analytics
- Science & Research
- Technology
- Software
Additional details
- Minimum experience
- 2+ years
- Apply by
- Aug 28, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Not Applicable
