Cultural Intelligence Analyst

About The Role

We are hiring Cultural Intelligence Analysts to evaluate and improve AI systems that power search and discovery for media content across U.S. markets. This role requires research-grade thinking and structured analytical writing. You will operate at the intersection of cultural intelligence, qualitative research, statistical analysis, and AI system evaluation. Your findings will directly influence model architecture decisions and will be read by ML engineers, product managers, and senior leadership.

What You’ll Do

AI Search & Model Evaluation

• Evaluate search result pages across relevance, freshness, authority, intent alignment, and thematic cohesion
• Validate search result relevance across diverse query types
• Identify systematic model failure patterns with technical precision
• Assess the impact of metadata (poster identity, post date, content format) on perceived trustworthiness and user satisfaction

Cultural & Contextual Analysis

• Detect humor, satire, irony, tonal nuance, and generational language shifts
• Analyze Gen-Z and Millennial communication patterns, slang evolution, and memetic propagation
• Identify locale-specific cultural context across North America
• Differentiate high-quality AI-generated content from low-quality or untrustworthy AI-generated outputs

Structured Diagnostics & Reporting

• Categorize model failures using structured taxonomies
• Assign severity tiers based on user harm and business impact
• Quantify error distributions (by query type, locale, category)
• Conduct root cause analysis linking surface failures to model limitations
• Produce engineering-ready reports requiring minimal clarification

Required Qualifications

Cultural Fluency

• Expert understanding of Gen-Z & Millennial internet culture
• Demonstrated ability to stay ahead of emerging trends
• Proven experience analyzing social media ecosystems
• Ability to detect subtle contextual misalignment in content outputs

Analytical Rigor

• Experience in qualitative research, content analysis, or structured evaluation
• Advanced pattern recognition skills
• Ability to build taxonomies from unstructured observations
• Strong statistical reasoning (error distributions, trend shifts, comparative analysis)
• Exceptional written communication — precise, structured, and technically clear

Technical Aptitude

• Comfort with evaluation platforms and AI tools
• Conceptual understanding of machine learning systems
• Experience translating qualitative insights into engineering recommendations

Key skills/competency

• AI Evaluation
• Cultural Intelligence
• Qualitative Research
• Statistical Analysis
• Gen-Z Culture
• Millennial Culture
• Social Media Analysis
• Pattern Recognition
• Structured Reporting
• Machine Learning Concepts