Media Search Analyst - English speakers
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IT/Tech
Job Description & How to Apply Below
Our global AI Community is a vibrant network of more than one million contributors from diverse backgrounds who help customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and contribute to the development of innovative AI technologies used by some of the world's largest brands.
Every day, billions of people search for music, shows, and apps across global platforms. They type a query expecting to find exactly what they're looking for. But those search results only make sense if AI understands not just the words people search for, but the cultural meaning behind them. Your deep knowledge of how people in your market actually consume media — which shows matter to which communities, how music preferences shift across regions, what streaming platforms mean to your culture — is the bridge between what people search for and what algorithms learn to recommend.
That cultural translation is irreplaceable.
In this role, you will evaluate how well media search results align with real user intent across multiple search modalities. Your analytical judgment determines whether AI systems understand not just what people search for, but why they search, and whether the results truly serve their cultural and entertainment context.
Parse complex media intent queries across streaming platforms, music catalogs, and application ecosystems understanding that the same search term carries different meaning across regions and age groups
Validate multilingual asset metadata and cross-attribute search parameters (release dates, artist affiliations, regional availability, cultural context)
Evaluate search result relevance against detailed evaluation frameworks that account for local market nuance, regional preferences, and cultural interpretation
Apply structured reasoning to edge cases where metadata conflicts or cultural context shifts meaning
Provide detailed assessment feedback that trains media search algorithms to better reflect local culture and user intent
When media search algorithms understand local culture, discovery becomes accurate and meaningful. Listeners find the right music, viewers discover relevant shows, and cultural expression is reflected authentically in digital systems.
Why join the project:Complete autonomy:
Structure your contributions around your existing professional or academic schedule without predetermined hours or shift requirementsFully remote environment:
Work from anywhere with stable internet, using only standard equipmentStructured guidelines and resources:
Access to detailed evaluation frameworks, media reference materials, and practical examples from day oneDedicated support:
Direct access to response channels for evaluation clarifications, technical issues, or administrative needsYour cultural expertise is the qualification:
Deep immersion in your local media landscape is the expertise this role depends on.
An active Apple /account and having an Apple device (iPhone, iPad, Mac, or Mac Book)
Professional fluency in English a (native or near-native proficiency required)
Residency in the United States for the last year consecutively
Deep familiarity with local entertainment, music, streaming, and digital media culture
Structured analytical thinking and comfort with complex multi-attribute evaluation frameworks
Flexibility to work on varied task types
Bachelor's degree in a technical, analytical, or humanities discipline (preferred)
Experience in data analysis, project management, media localization, content curation, or cultural research (strongly valued)
Reliable computer with stable broadband…
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