Document Review Specialist (AI Training)
Posted:
Position: Document Review Specialist (AI Training)
Date Posted: June 15, 2026
Industry: Artificial Intelligence / Data Annotation / Document Processing / Remote Work
Employment Type: Hourly Contract
Experience: No Prior Experience Required (Detail-oriented reading and comprehension skills preferred)
Qualification: High School Diploma or Equivalent; Higher Education Preferred but Not Required
Salary: $40-120/hr
Location: United States, REMOTE
Company: Alignerr
Description:
Alignerr is seeking detail-oriented Document Review Specialists to support AI training initiatives by reading, annotating, and classifying real-world documents. This fully remote role contributes directly to improving how AI systems interpret and understand written information across various domains such as articles, financial reports, and structured forms.
This opportunity is ideal for individuals with strong reading comprehension skills and a systematic approach to work. No prior experience in AI, legal documentation, or data annotation is required. The role offers flexible working hours and the ability to contribute to cutting-edge artificial intelligence projects from anywhere.
Key Responsibilities:
• Read and analyze a wide range of documents including articles, reports, and structured forms
• Annotate and classify document sections based on provided guidelines
• Extract key information such as entities, dates, and relationships
• Apply labeling rules consistently and accurately
• Maintain high accuracy across large sets of documents
• Work independently while following structured annotation instructions
• Ensure quality and consistency in all assigned tasks
Requirements:
• Strong reading comprehension and attention to detail
• Ability to follow structured guidelines accurately
• Self-motivated and capable of independent remote work
• Strong analytical and organizational mindset
• Ability to manage repetitive tasks with consistency
• No prior experience required
Strong knowledge of:
• Document Reading and Comprehension
• Data Annotation and Labeling
• Information Extraction Techniques
• Structured Guideline Application
• Attention to Detail and Quality Control
• Remote Task Management
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