NLP Data Annotator (Chatbot Training)

We're building a chatbot trained on a financial book and other related materials. We need someone to help break the book into logical, meaningful content chunks and tag each chunk with a relevant keyword, topic, or intent. 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 structured “chunks” based on topics, principles, or examples (e.g., “buying a home,” “tax deferral,” “cash flow maximization”). -Assign a clear keyword/tag or intent label to each chunk. Optionally, write a short summary or extract the most quotable sentence from each chunk. -Format output in a structured format (Google Sheet, Notion, or Markdown preferred). Ideal Candidate: -Strong English reading comprehension and summarization skills. Experience in content tagging/indexing, instructional design, or NLP data annotation. -Familiarity with AI prompt engineering or chatbot training is a plus. -Ability to work independently and handle sensitive financial/philosophical content. Project Scope: ~250 pages of material -Final output expected within 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 complex material -Your rate and estimated timeline Apply tot his job