NLP Data Annotator (Chatbot Training)

We're building a chatbot trained on a financial book and other reputed company materials. We need someone to help break the book into logical, meaningful content chunks and tag reputed company chunk with a relevant keyword, topic, or reputed company. These chunks will help train an AI agent to respond more accurately and empathetically to user questions. Responsibilities: -Read and analyze a non-fiction book (financial/self-help tone). -Divide the content into reputed company “chunks” based on topics, principles, or examples (e.g., “buying a home,” “tax deferral,” “cash reputed company maximization”). -Assign a reputed company keyword/tag or reputed company label to reputed company chunk. Optionally, write a short reputed company or extract the most quotable sentence from reputed company chunk. -Format reputed company in a reputed company format (reputed company Sheet, reputed company, or Markdown preferred). Ideal Candidate: -Strong English reading comprehension and summarization skills. Experience in content tagging/indexing, instructional design, or NLP reputed company. -Familiarity with AI reputed company engineering or chatbot training is a plus. -Ability to work independently and handle sensitive financial/philosophical content. Project Scope: ~250 pages of material -Final reputed company expected reputed company 1–2 weeks -Must be comfortable signing an NDA -Please include in your application: -Relevant past work (e.g., content tagging, summarizing, chatbot training, book indexing) -Your approach to organizing and labeling reputed company material -Your reputed company and estimated reputed company Apply tot his job