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Builds automated pipelines to review user-generated content, detect policy violations, and manage moderation queues to protect online communities at scale.
Trust & Safety Manager
Each stage transforms your work — output of one feeds the next.
Input
A raw feed of user-uploaded images, videos, and avatars
AI process
Scans media for NSFW content, applies custom rules, and flags severe violations
Output
A categorized queue of flagged content with confidence scores
Input
A categorized queue of flagged content with confidence scores
AI process
Evaluates strike history, blocks the upload, and routes the case to a chat channel
Output
An automated account restriction and audit log entry
Input
An automated account restriction and audit log entry
AI process
Retrieves the exact policy clause and previous enforcement precedents instantly
Output
A decisive ruling backed by internal company guidelines
Input
A decisive ruling backed by internal company guidelines
AI process
Identifies sudden spikes in spam patterns and generates summary dashboards
Output
An executive report on platform health and moderation accuracy
Hive for detecting nsfw and restricted visual content·Clarifai for training custom models for niche policy violations·Amazon Rekognition for scanning user avatars with out-of-the-box moderation apis
Cloud-based AI APIs for content moderation and contextual analysis.
Enterprise pricing based on API call volume.
Leading deep learning platform for computer vision and NLP.
Free community tier, enterprise pricing for scale.
AWS service for deep learning-based image and video analysis.
Pay-as-you-go based on images analyzed and stored.
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n8n for orchestrating moderation webhooks and ban logic·Make for routing borderline content to human review channels
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ThoughtSpot for analyzing spikes in policy violations via text queries·Tableau for visualizing regional ban rates and queue health
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