[Hiring] AI Data Annotator, Entry Level REMOTE USA

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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