Data Labeling Specialist, Entry Level

Jobright.ai; United States; Remote; USD 32,000 - 42,000; Full time

Job summary

Jobright.ai is seeking an entry-level AI Data Annotator to review and label text-based data, applying guidelines consistently to improve the quality of data used by our AI-powered job-search products. This role is remote and suited for detail-oriented individuals who enjoy methodical work.

You will annotate, categorize, and review content, participate in quality checks, and help identify edge cases while meeting accuracy and productivity goals in a remote environment.

Qualifications

• Strong attention to detail and ability to follow written instructions.
• Clear written communication and sound judgment.
• Comfort working with repetitive, detail-oriented tasks.
• Basic proficiency with spreadsheets and web-based tools.
• Ability to manage time independently in a remote environment.

Responsibilities

• Review, categorize, and annotate text and structured data.
• Apply detailed labeling guidelines consistently and accurately.
• Evaluate AI-generated content for relevance, quality, and policy alignment.
• Identify ambiguous examples, edge cases, and recurring data-quality issues.
• Document annotation decisions and provide feedback on guidelines.
• Participate in quality reviews and help resolve labeling disagreements.
• Meet accuracy and productivity goals in a remote work environment.

Skills

Attention to detail

Written communication

Instruction following

Remote work

Time management

Spreadsheets

Web-based tools

Job description

Jobright is your personal AI job search agent that transforms the way you do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. The Entry-Level AI Data Annotator will review and label text-based data, apply annotation guidelines consistently, and help improve the quality and accuracy of data used by AI-powered job-search products.

Why Join Us

• Build real, production AI agents used by real users
• High ownership and impact
• Work at the intersection of AI, agents, and product
• Shape how people experience AI-driven job search

Responsibilities

• Review, categorize, and annotate text and structured data
• Apply detailed labeling guidelines consistently and accurately
• Evaluate AI-generated content for relevance, quality, and policy alignment
• Identify ambiguous examples, edge cases, and recurring data-quality issues
• Document annotation decisions and provide feedback on guidelines
• Participate in quality reviews and help resolve labeling disagreements
• Meet accuracy and productivity goals in a remote work environment

Qualification

Required

• Strong attention to detail and ability to follow written instructions
• Clear written communication and sound judgment
• Comfort working with repetitive, detail-oriented tasks
• Basic proficiency with spreadsheets and web-based tools
• Ability to manage time independently in a remote environment

Preferred

• Previous annotation, content review, research, or data-entry experience
• Familiarity with AI, language models, job-search data, or taxonomy work
• Experience working with quality metrics or structured review processes