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Chatbot Writer Jobs (NOW HIRING)

SmartIPlace

AI Chatbot Developer[Remote]

Columbus, OH · Remote

Product Specialist 5 / PS 5 (AI Chatbot Developer) Location: 77S High St Ste B1, Columbus, OH 43215 ... writing using Word, PowerPoint, Visio, and SharePoint. · Writing effective Gen AI Prompts to ...

Two Dots

Chatbot Engineer

San Francisco, CA · On-site

Required : • Strong written English • Strong Python ability • Comfortable using SQL or ... for ambiguous chatbot engineering Preferred : • Experience with TypeScript or other strong ...

Vanta

AI Optimization Specialist, Support

$129K - $152K/yr

Strong writing and organizational skills for crafting and maintaining structured knowledge (e.g., snippets, Guru cards, internal documentation) that feeds both chatbot and Copilot accuracy. * Problem ...

Flex

Lead, CS AI Content

New York, NY · On-site

Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including structured responses, decision trees, and escalation logic. * Author conversational AI dialogue flows ...

Accenture Federal Services

Data Analyst

Washington, DC · On-site

Analyze chatbot performance metrics such as user satisfaction, deflection rates, response accuracy ... Write user stories with data-backed acceptance criteria, wireframes, and process flows. * Lead ...

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Chatbot Writer information

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How much do chatbot writer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for chatbot writer in the United States is $24.29, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $27.88 per hour, depending on experience, location, and employer.

What is a chatbot writer?

A Chatbot Writer creates and designs conversational scripts for AI chatbots, ensuring they provide helpful, engaging, and natural-sounding responses. They collaborate with developers, UX designers, and businesses to craft dialogues that align with brand voice and customer needs. Their work involves structuring chatbot flows, optimizing user interactions, and improving chatbot accuracy through testing and refinement.

What are the typical daily responsibilities of a chatbot writer?

As a Chatbot Writer, your daily tasks often include drafting and refining conversational scripts, collaborating with product managers and developers to ensure smooth chatbot interactions, and testing dialogues for clarity and effectiveness. You may also analyze user feedback to identify areas for improvement and update content accordingly. Regular meetings with UX designers and subject matter experts help align the chatbot’s tone and functionality with company objectives. This role often requires balancing creative messaging with technical logic to deliver a seamless and engaging user experience.

What are the key skills and qualifications needed to thrive as a chatbot writer?

To thrive as a Chatbot Writer, you need strong writing and editing skills, an understanding of conversational design, and familiarity with user experience (UX) principles. Experience with chatbot platforms (such as Dialogflow, Botpress, or Chatfuel) and knowledge of markup languages or scripting can be advantageous. Creativity, adaptability, and strong collaboration skills help you craft engaging dialogues tailored to diverse audiences. These abilities are essential for producing effective, user-friendly chatbot content that aligns with business goals and enhances customer experiences.

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Chatbot Writer jobs near you
Infographic showing various Chatbot Writer job openings in the United States as of August 2026, with employment types broken down into 56% Full Time, 41% Part Time, and 3% Contract. Highlights an 55% Physical, 2% Hybrid, and 43% Remote job distribution, with an average salary of $50,519 per year, or $24.3 per hour.

Chatbot Developer

Software People, Inc.

Los Angeles, CA • On-site

Other

Re-posted 15 days ago

Job description

Chatbot Developer

Location: Los Angeles, CA

Duration: 12+ months

Phone/Skype Hire. Onsite from day 1

Responsibilities

  • Design and develop NLU application (chatbot) using Lex. Design Conversational Flow: Create a flowchart or diagram outlining the chatbot's conversation paths, responses, and possible user inputs.
  • Develop Natural Language Processing (NLP) Capabilities: Implement NLP models to enable the chatbot to understand and process user inputs effectively. Create intents and define slot types based on the application requirement. Set up how the lex bot conversation should flow and error handling. Use Lex's dialog management system to specify prompts for each slot and determine fallback responses. Use Lambda functions for dynamic responses or backend logic.
  • Thoroughly test the bot to ensure it responds accurately, handles edge cases, and performs smoothly in various situations. Use the built-in testing interface in the AWS Lex console to simulate conversations. Implement monitoring using Amazon CloudWatch to track bot performance and errors. Adjust intents, prompts, and Lambda functions as needed based on user feedback.
  • Use APIs to interact with different LLMs. Understand various LLMs available on Amazon Bedrock and how to invoke them efficiently and cost-optimized using customized completion prompts.
  • Use various AWS technologies like API G/W, Lambda, S3, Cloud Formation scripts, CloudWatch, etc to create a complete solution that can be monitored, optimized, and updated with automation tools.
  • Write and Optimize Python Code. Develop clean, readable, and efficient Python code to solve problems or build applications. Continuously refactor code for readability and performance. Use libraries like collections, lang chain, and built-in functions to optimize code.
  • Develop services using SOA and interact with APIs to send or receive data from external systems or services using libraries to make GET, POST, PUT, and DELETE requests. Create and process JSON requests and responses and manage authentication (like OAuth tokens or API keys).
  • Manage project dependencies and keep environments isolated for each project. Create application packages and docker images that can be deployed in a cloud infrastructure. Ensure all dependencies are packaged and use venv or virtualenv to create isolated Python environments for different projects.
  • Ensure code quality by writing tests and debugging issues that arise. Conduct thorough testing, including unit testing and user acceptance testing (UAT), to ensure the chatbot functions as expected and fix any bugs.
  • Use database concepts to write and create SQL queries to extract data from the database.