Data Labeling Specialist – Entry Level

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