We are seeking a skilled AI developer or data scientist to design and deploy a robust solution for detecting misinformation and fake reviews across our digital channels. As the prevalence of deceptive user-generated content grows, maintaining customer trust is critical—this project aims to empower our business with state-of-the-art machine learning technology for reliable content moderation.The successful candidate will deliver an end-to-end solution capable of identifying, flagging, and filtering false information and manipulated reviews, supporting our moderation team, and protecting our brand’s reputation. Your experience using advanced AI models, natural language processing, sentiment analysis, and behavioral pattern detection will be fundamental to project success.
Scope of Responsibilities:

• Analyze existing review data and known sources of misinformation across web, app, and social platforms
• Develop and train AI models (NLP, deep learning, statistical classifiers) for fake review and misinformation detection
• Integrate sentiment and linguistic pattern analysis, reviewer behavior tracking, and metadata verification
• Implement a filtering system to flag and remove suspicious reviews or entries
• Provide reporting dashboards for transparency and ongoing analysis
• Ensure compliance with privacy standards and platform guidelines
• Document solution and train internal teams for effective, sustained review management

We encourage candidates to include details of previous similar projects, preferred AI tooling, and a summary of their detection methodology.