Posted:
Position: AI Data Annotator, Entry Level
Date Posted: August 8, 2026
Industry: Artificial Intelligence / Data & Technology
Employment Type: Full Time
Experience: Entry Level
Qualification: Bachelor’s Degree, Associate Degree, Relevant Certification, or Equivalent Experience
Salary: Estimated: $40,000–55,000 per year
Location: United States | REMOTE
Company: Jobright.ai
Description:
Jobright.ai is looking for an entry-level AI Data Annotator to support the development and improvement of AI systems through accurate data review and labeling. This remote opportunity is suitable for detail-oriented candidates who can follow written instructions carefully and consistently handle structured, repetitive tasks.
The successful candidate will review and categorize text and structured data, assess AI-generated content, identify data-quality concerns, and document annotation decisions. The role also involves participating in quality reviews, resolving differences in labeling, and maintaining accuracy and productivity standards while working independently.
Key Responsibilities:
• Review, categorize, and annotate text and structured datasets.
• Follow detailed labeling guidelines to ensure consistent and accurate annotations.
• Evaluate AI-generated content for relevance, quality, and compliance with applicable policies.
• Identify ambiguous examples, edge cases, and recurring data-quality issues.
• Document annotation decisions and provide feedback on labeling guidelines.
• Participate in quality reviews and help resolve annotation disagreements.
• Meet established accuracy and productivity targets in a remote work environment.
Requirements:
• Strong attention to detail and ability to follow written instructions accurately.
• Clear written communication and good judgment.
• Comfortable performing repetitive and detail-focused tasks.
• Basic proficiency with spreadsheets and web-based tools.
• Ability to manage time effectively while working independently in a remote environment.
• Preferred:
• Bachelor’s Degree, Associate Degree, certification, or equivalent experience.
• Previous experience in annotation, content review, research, or data entry.
• Familiarity with artificial intelligence, language models, job-search data, or taxonomy.
• Experience working with quality metrics or structured review processes
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