Online content moderation at scale is a non trivial task especially with an ever changing landscape of hate, hate speech with changing geopolitical scenarios. Moderation platforms need to support multiple typologies like - hate, sexually explicit, violence, bullying, spam and other toxic material. Add multi-language support for all typologies and it becomes an uphill task. In this talk we will cover the below topics: 1. Why is Text Content Moderation is hard? Why we need AI? 2. What are the available open-source datasets to train models? 3. What are the available pre-trained models for content moderation? 4. Why pre-trained models do not always work? 5. Data labelling strategies and how to leverage open data and models? 6. How to build multi-language support and challenges?