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 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 #J-18808-Ljbffr Jobright.ai