Document Review Specialist
12 hours ago
Toronto, Ontario, Canada
Alignerr
Remote
Full-time
US$40 - US$120 Permanent
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Document Review Specialist (AI Training)
About The Role
What if your sharp eye for detail could directly influence how AI understands the written world? We're looking for Document Review Specialists in the Toronto area to read, annotate, and classify real-world documents — helping AI systems make sense of everything from news articles to financial reports. This is a fully remote, flexible contract role open to anyone with strong reading comprehension and a systematic mindset. No prior AI, legal, or document management experience needed — just the ability to read carefully and follow clear guidelines.
• Organization: Alignerr
• Type: Hourly Contract
•
Location:
Remote
• Commitment: 10–40 hours/week
What You'll Do
• Read and annotate a wide variety of documents — articles, reports, forms, and more
• Classify document sections, extract key information, and label important data points
• Identify entities, dates, relationships, and structures within text
• Follow detailed annotation guidelines with precision and consistency
• Maintain a high standard of accuracy across large document sets
• Work independently and asynchronously on your own schedule Who You Are
• Strong reading comprehension and ability to process diverse document types
• Naturally detail-oriented with a systematic, methodical approach
• Comfortable following structured guidelines and applying them consistently
• Self-motivated and reliable when working independently
• No legal, academic, or document management background required Nice to Have
• Experience in research, editing, data entry, or administrative work
• Familiarity with annotation tools or content review platforms
• Background in information management, library science, or journalism Why Join Us
• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Contribute to AI development that shapes how technology understands human knowledge
• Potential for ongoing work and contract extension as new projects launch
About The Role
What if your sharp eye for detail could directly influence how AI understands the written world? We're looking for Document Review Specialists in the Toronto area to read, annotate, and classify real-world documents — helping AI systems make sense of everything from news articles to financial reports. This is a fully remote, flexible contract role open to anyone with strong reading comprehension and a systematic mindset. No prior AI, legal, or document management experience needed — just the ability to read carefully and follow clear guidelines.
• Organization: Alignerr
• Type: Hourly Contract
•
Location:
Remote
• Commitment: 10–40 hours/week
What You'll Do
• Read and annotate a wide variety of documents — articles, reports, forms, and more
• Classify document sections, extract key information, and label important data points
• Identify entities, dates, relationships, and structures within text
• Follow detailed annotation guidelines with precision and consistency
• Maintain a high standard of accuracy across large document sets
• Work independently and asynchronously on your own schedule Who You Are
• Strong reading comprehension and ability to process diverse document types
• Naturally detail-oriented with a systematic, methodical approach
• Comfortable following structured guidelines and applying them consistently
• Self-motivated and reliable when working independently
• No legal, academic, or document management background required Nice to Have
• Experience in research, editing, data entry, or administrative work
• Familiarity with annotation tools or content review platforms
• Background in information management, library science, or journalism Why Join Us
• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task-based work
• Contribute to AI development that shapes how technology understands human knowledge
• Potential for ongoing work and contract extension as new projects launch