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Jobright.ai is seeking an Entry-Level Data Labeling Specialist to support the development and improvement of AI-powered job search products. The role involves reviewing and labeling text-based data, following annotation guidelines, and helping improve the accuracy and quality of datasets used by AI systems.
This remote opportunity is ideal for detail-oriented individuals who are comfortable working with structured data, reviewing AI-generated content, and providing accurate feedback. The selected candidate will contribute to the development of AI agents while working in a fast-paced technology environment.
Key Responsibilities:
• Review, categorize, and annotate text-based and structured data.
• Apply detailed labeling guidelines consistently to maintain data accuracy.
• 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.
• Maintain accuracy and productivity targets while working in a remote environment.
Requirements:
• Strong attention to detail with the ability to follow written instructions.
• Clear written communication skills and good judgment.
• Comfortable performing repetitive, 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 work is an advantage.
• Experience working with quality metrics or structured review processes is preferred.
• Strong knowledge of:
• Data annotation and quality review processes
• AI-generated content evaluation
• Spreadsheet and web-based data management tools
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