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 Now
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 Now