Published on
Feb 24, 2026
Content Analyst and Knowledge Engineer
Company: Yahoo
Employment Type: Full-Time
Location: 100% Remote – USA (occasional in-person events with notice)
Compensation: $102,000 – $212,500 (USD)
Category: Data, AI & Analytics
Close date or Apply by date: Not disclosed
WHY THIS ROLE MADE THE CUT
Fully remote (no hybrid or office requirements)
Full-Time role
Job is listed on company site with a direct link to apply
Legitimate, established company
Posted within the last 14 days OR includes a clear deadline to apply
Clear salary range is disclosed
ROLE SNAPSHOT
Yahoo is hiring a Content Analyst and Knowledge Engineer to serve as the human intelligence layer refining the core search experience for millions of users across all platforms, combining rigorous diagnostic testing, query analysis, and strategic content programming. You'll monitor and analyze content programming performance translating raw data into actionable insights, conduct competitive landscape and user climate analysis to influence product roadmap, act as editorial SME ensuring communication of product changes across cross-functional teams, classify diverse unstructured data and synthesize user query analysis, execute content curation with data-driven performance metrics and journalistic standards, and collaborate with Engineering and Data Science teams on LLMs and ML algorithms for ranking, classification, and NLP initiatives. This role requires Bachelor's degree (preferred in Linguistics, Data Science, Journalism, or Computer Science), 5+ years in content analysis or search quality, expertise in taxonomy development and content categorization, and strong technical aptitude to interface with Engineering teams.
KEY WORDS TO INCLUDE IN YOUR RESUME/COVER LETTER IF YOU APPLY:
Content analysis and search quality
Taxonomy development and data classification
User query analysis
Editorial and journalistic standards
LLMs and Machine Learning collaboration
Natural Language Processing (NLP)
Content categorization systems
Data-driven insights
Cross-functional collaboration with Engineering
Keyword management and SEO
Keywords are suggested based on the language used in the employer's job description to help applicants align with automated screening systems.
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