Data Labeling Specialist, Entry Level

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

• • Bachelor's degree, associate degree, certification, or equivalent experience
• • 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