AI Trainer, Entry Level

Jobright.ai; United States; Remote; USD 21,000 - 30,000; Full time

Job summary

Jobright.ai is seeking an Entry-Level AI Data Annotator to review and label text data, improving AI-powered job-search products. You will apply labeling guidelines and document decisions while working remotely.

You will categorize content, evaluate AI outputs for relevance and quality, identify edge cases, and participate in quality reviews, all while meeting accuracy and productivity goals in a remote environment.

Qualifications

• Strong attention to detail and ability to follow 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 data.
• Apply labeling guidelines consistently.
• Evaluate AI-generated content for relevance and quality.
• Identify ambiguous examples, edge cases, and 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

Clear written communication

Time management

Ability to work independently

Spreadsheet basics

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 to enhance the quality and accuracy of data used in AI-powered job-search products, while applying annotation guidelines and documenting decisions.

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