[Hiring] Data Labeling Specialist (Entry Level) REMOTE USA

Position: Data Labeling Specialist (Entry Level)

Date Posted: September 23, 2026

Industry: Artificial Intelligence & Technology

Employment Type: Full-Time

Experience: Entry Level / No prior experience required

Qualification: Bachelor’s Degree, Associate Degree, Certification, or equivalent experience (Preferred)

Salary: $45,000 – $65,000 per year (Estimated)

Location: United States | REMOTE

Company: Jobright.ai

Description:

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

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.

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