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Chatbot Writer Jobs in Washington (NOW HIRING)

Helpdesk

Manassas, VA · On-site

$70K - $95K/yr

Help create, write, and provide input for all process, procedures, and other requirements to stand ... Support our new chatbot, AI driven analytics, and VDI in a Dev/Sec/Ops environment

AI/ML Subject Matter Expert

Vienna, VA · Remote

$195K - $210K/yr

... chatbot developmentExperience in developing Generative AI applications especially using LLMs in ... writing skillsCollaborate with business stakeholders to identify opportunities for AI/ML ...

AI/ML Subject Matter Expert

Vienna, VA · On-site

$195K - $210K/yr

Write and test application code, develop ML models, and automate tests and deployment * Retrain ... Project work in deep learning, transformers, computer vision, NLP, or chatbot development

They are developing generative AI regulatory specific chatbot similar to a chatGPT. * Called ... Excellent written and verbal communication skills * Ability to work autonomously and adapt to ...

Showing results 41-57

Chatbot Writer information

See Washington salary details

$13

$27

$48

How much do chatbot writer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for chatbot writer in Washington is $27.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $31.59 per hour, depending on experience, location, and employer.

How do I become a chatbot writer?

To become a chatbot writer, develop strong writing and communication skills, familiarize yourself with chatbot platforms and scripting languages, and gain experience in conversational design or AI content creation. Building a portfolio of chatbot scripts and understanding user intent can improve your prospects in this field.

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 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 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.

What are the most commonly searched types of Chatbot Writer jobs in Washington?

The most popular types of Chatbot Writer jobs in Washington are:

What are popular job titles related to Chatbot Writer jobs in Washington?

For Chatbot Writer jobs in Washington, the most frequently searched job titles are:

Infographic showing various Chatbot Writer job openings in Washington as of August 2026, with employment types broken down into 68% Full Time, 29% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $57,218 per year, or $27.5 per hour.

Software Engineer, Early Career - AI Platform

Brivo, Inc.

Bethesda, MD • On-site

$120 - $144/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 hours ago


Job description

Software Engineer, Early Career - AI Platform

Department: Engineering - Access

Employment Type: Full Time

Location: Bethesda

Compensation: $120,000 - $144,000 / year


Description

You’ll join the team building Brivo’s AI platform—the services, integrations, and guardrails that bring intelligent, natural-language capabilities to our core Access Control and Video products. This is a hands‑on role where you’ll write production code from day one, learn how large‑scale systems are built and operated, and grow alongside experienced engineers who will mentor you through design reviews, code reviews, and real production work. We’re looking for someone curious, eager to learn, and excited about AI—someone who picks up new technologies quickly, asks good questions, speaks up, and thrives in a fast‑paced environment.

You will join a high‑impact team building the next generation of AI‑powered experiences on Brivo’s platform. This team helps customers get more value from their access control and video systems by making buildings and their data intelligible and actionable through AI—working on capabilities ranging from LLM orchestration and safety guardrails to tools that let AI agents interact with the platform. You’ll get broad exposure to modern backend, cloud, and AI engineering.


Responsibilities
  • Spend the majority of your time coding. You’ll build and maintain features in production API services using Node.js/TypeScript and Express, with support and mentorship from senior engineers.
  • Contribute to our LLM and generative AI features—helping implement prompt logic, tool/function calling, and agent workflows—and learn how they run safely at scale.
  • Help build and test AI safety guardrails (e.g., prompt‑injection and data‑exposure checks) and tooling that lets AI agents interact with the platform.
  • Participate actively in code reviews and design discussions, learning to document decisions and raise the quality bar over time.
  • Write and maintain automated tests (unit and integration) and help troubleshoot issues in development and production environments.
  • Work within an Agile team—joining sprint planning, backlog grooming, and feature reviews—and collaborate with product managers, designers, and QA to deliver high‑quality features.
  • Learn our cloud and deployment practices, including AWS, CI/CD pipelines, PostgreSQL, and Redis, and grow into owning your own components.

Qualifications Required
  • BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience (bootcamp, self‑taught, or comparable).
  • Solid programming fundamentals in at least one modern language (JavaScript/TypeScript, Python, Java, or similar), plus a working understanding of data structures, algorithms, and how web/API services work.
  • A university project, capstone, internship project, or personal side project you can demonstrate and discuss in depth—ideally one that involves AI/LLMs (e.g., a chatbot, agent, RAG app, or an app built on an LLM API).
  • Foundational understanding of generative AI / LLM concepts—prompting, tool/function calling, and the basics of how models are used in applications.
  • Familiarity with relational databases (e.g., PostgreSQL) and basic SQL.
  • Comfort with Git and collaborative development workflows.
  • Strong written and verbal communication skills, and genuine eagerness to learn and take feedback.
Highly Desirable / Nice to Have
  • Hands‑on experience—even in a school or side project—with an LLM provider API (e.g., Anthropic Claude, OpenAI) or an agent framework (e.g., LangChain/LangGraph).
  • Exposure to MCP (Model Context Protocol) servers or building tools/plugins that let an LLM call external functions.
  • Any experience with Node.js/TypeScript, Express, or REST API development.
  • Exposure to cloud platforms (especially AWS), Docker/containers, or CI/CD pipelines.
  • Awareness of AI safety concerns—prompt injection, data leakage, hallucinations and why guardrails matter.
  • Interest in physical security, access control, or IoT.
  • Prior internship or open‑source contributions.

Why Work for Us?

Brivo is a Great Place to Work‑Certified™ company and the global leader in cloud‑based access control and video surveillance. Following our merger with Eagle Eye Networks, we are building the only platform powerful enough to support the future of AI‑driven security.

Why Your Work Matters

Innovation drives our vibe, but purpose drives our mission. You will work on essential systems that protect the health, safety, and welfare of people and property worldwide. At Brivo, your voice is heard, your talent is respected, and your contributions have a global impact.

  • The Brivo Experience: We thrive on in‑person collaboration and a "one‑team" atmosphere. We embrace our international presence, leveraging diverse ideas and backgrounds to improve our culture and our products. To keep our global teams connected and inspired, we provide a premium onsite experience featuring communal meals, recurring social events, and fully stocked workspaces—ensuring you have everything you need to stay focused while building the future of security.
  • Total Rewards: We support our people with competitive medical, vision, and dental plans (including company‑offset premiums), a 401k with company match, and an unlimited Paid Time Off (PTO) policy that empowers you to take the time you need to maintain a healthy work‑life balance.

Individual compensation packages are based on job‑related skills, experience, qualifications, work location, training, and market conditions. In addition, Brivonians enjoy a robust benefits and perks package tailored to their work location.

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