[Hiring] Data Annotator REMOTE USA
Position: Data Annotator
Date Posted: June 8, 2026
Industry: Artificial Intelligence / Machine Learning / Data Services
Employment Type: Full Time
Experience: Not Specified (Prior Data Entry or Annotation Experience Preferred)
Qualification: High School Diploma or Equivalent
Salary: $65,000 – $85,000 per year (Depending on Experience)
Location: United States, REMOTE
Company: Careerscape
Description:
Careerscape is seeking a detail-oriented Data Annotator to join its fully remote team supporting AI and machine learning development. This role focuses on accurately labeling, tagging, and categorizing large datasets that contribute to improving intelligent systems.
The position is ideal for individuals who are highly attentive to detail, comfortable working independently, and interested in gaining experience in the fast-growing field of artificial intelligence and data operations.
Key Responsibilities:
• Label, tag, and categorize text, image, and audio datasets
• Review data for accuracy, consistency, and completeness
• Apply annotation guidelines and classification standards across large datasets
• Identify and flag unclear or ambiguous data for review
• Meet daily and weekly productivity and quality targets
• Ensure consistency in data labeling across all assigned tasks
• Support quality assurance of training datasets for AI systems
Requirements:
• High school diploma or equivalent required
• Strong attention to detail and accuracy
• Ability to work independently in a remote environment
• Basic computer literacy and web tool proficiency
• Strong written communication skills in English
• Ability to follow structured guidelines and annotation standards
• Strong knowledge of:
• Data labeling and categorization processes
• Basic data quality assurance principles
• Remote task management tools
• AI/ML data preparation concepts (preferred)
BENEFITS & PERKS
• Fully remote work from anywhere in the United States
• Flexible working schedule
• Paid training and onboarding
• Career growth opportunities into QA and leadership roles
• Exposure to real-world AI and machine learning projects
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