[Hiring] Data Labeling Specialist – Entry Level REMOTE USA
Position: Data Labeling Specialist – Entry Level
Date Posted: September 7, 2026
Industry: Artificial Intelligence / Data Annotation / Technology
Employment Type: Full Time
Experience: Entry Level | Previous Annotation, Content Review, Research, or Data Entry Experience Preferred
Qualification: Bachelor’s Degree, Associate Degree, Certification, or Equivalent Experience (Preferred)
Salary: $45,000 – $65,000 per year (Estimated)
Location: REMOTE, United States
Company: Jobright.ai
Description:
Jobright.ai is seeking an Entry-Level Data Labeling Specialist to support the development of AI-powered job search products. This remote opportunity is ideal for detail-oriented individuals who are interested in artificial intelligence, data quality, and improving how AI systems understand and process information.
The selected candidate will review and annotate text-based and structured data, evaluate AI-generated content, follow detailed labeling guidelines, and contribute feedback to improve data accuracy. This role offers an opportunity to work with AI agents and gain hands-on experience in a growing technology environment.
Key Responsibilities:
• Review, categorize, and annotate text-based and structured data accurately.
• Apply detailed annotation guidelines consistently across different datasets.
• Evaluate AI-generated content for relevance, quality, and policy compliance.
• Identify unclear examples, edge cases, and recurring data quality issues.
• Document annotation decisions and provide feedback to improve guidelines.
• Participate in quality reviews and help resolve labeling inconsistencies.
• Achieve accuracy and productivity targets while working remotely.
Requirements:
• Strong attention to detail with the ability to follow written instructions.
• Clear written communication skills and good judgment.
• Comfortable performing repetitive and detail-focused tasks.
• Basic proficiency with spreadsheets and web-based tools.
• Ability to manage time independently in a remote work environment.
• Previous experience in annotation, content review, research, or data entry is preferred.
• Familiarity with AI, language models, job-search data, or taxonomy systems is an advantage.
• Experience working with quality metrics or structured review processes is preferred.
• Strong knowledge of:
• Data annotation and content review processes
• Spreadsheet tools and web-based platforms
• AI-generated content evaluation and quality control
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
