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Remote Live Chat Agent Jobs in Washington (NOW HIRING)

Vylla Home

Real Estate Agent

Arlington, VA · Remote

$85K - $185K/yr

Customized training, live demos and more available 24/7 * Customizable agent websites, marketing ... Remote Job Type: Full-time Commission: $85,000.00 - $185,000.00 per year Experience level: * 2 ...

Vylla Home

Real Estate Agent

Arlington, VA · Remote

$85K - $185K/yr

Customized training, live demos and more available 24/7 * Customizable agent websites, marketing ... Remote Job Type: Full-time Commission: $85,000.00 - $185,000.00 per year Experience level: * 2 ...

Loyal Benefit Group

Be Seen First

Remote Life Insurance Agent - No Experience Needed

Washington, DC · Remote

$60K - $80K/yr

Loyal Insurance's Remote Division is expanding into Puerto Rico offering a high level of mentorship ... Live Transfer Lead Platform The Loyal Insurance Difference * Vested Day One- Agent Owed Book of ...

Addison Group

Member Care Associate

Washington, DC · Remote

$20 - $24/hr

Remote, local to DC, Maryland, Virginia market Assignment Type: Contract (Through October) Pay: $20 ... Respond to member inquiries through phone, email, and live chat in a timely and professional manner ...

Leidos

Senior AWS Amazon Connect Engineer

Gaithersburg, MD · Remote

$107K - $195K/yr

Please Note: This is 100% telework/remote opportunity. However, candidate must be/reside in the ... and chat channels are deployed and stable. * Salesforce integration and live-agent transfer ...

New

Leidos

Senior AWS Amazon Connect Engineer

Washington, DC · Remote

$107K - $195K/yr

Please Note: This is 100% telework/remote opportunity. However, candidate must be/reside in the ... and chat channels are deployed and stable. * Salesforce integration and live-agent transfer ...

New

CGI Inc.

Remote Support Technician, Journeyman

Arlington, VA · On-site +1

$43K - $54K/yr

Provide support via phone, email, chat, or remote desktop software. • User Guidance: Guide users ... Required qualifications to be successful in this role: • MUST live within a 50-mile radius of the ...

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All JobsLive Chat Agent JobsRemote Live Chat Agent JobsRemote Live Chat Agent Jobs in Washington

Remote Live Chat Agent information

See Washington salary details

$10

$23

$52

How much do remote live chat agent jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote live chat agent in Washington is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $27.36 per hour, depending on experience, location, and employer.

What does a remote live chat agent do?

A typical day as a Remote Live Chat Agent involves logging in to the company's chat platform, responding to questions from customers in real time, and resolving issues effectively and efficiently. You may be required to manage several chat conversations simultaneously while maintaining a friendly and professional tone. Collaboration with other team members or departments often occurs virtually through chat or email to escalate complex issues or gather information. Success in this role depends on quick thinking, adaptability, and delivering a positive customer experience throughout each interaction.

What is a remote live chat agent?

A Remote Live Chat Agent is responsible for assisting customers via live chat, providing support, answering inquiries, and troubleshooting issues in real time. This role typically involves handling multiple conversations at once, maintaining a professional and friendly tone, and ensuring customer satisfaction. Agents usually work from home, requiring a reliable internet connection and strong typing skills. Many positions offer flexible hours, making it a great option for those looking for remote work opportunities.

What are the key skills and qualifications needed to thrive in the remote live chat agent position, and why are they important?

To thrive as a Remote Live Chat Agent, you need strong written communication skills, problem-solving abilities, and typically at least a high school diploma or equivalent. Familiarity with customer support platforms, CRM software, and live chat systems is often required, and some companies may value certifications in customer service. Empathy, patience, and the ability to multitask effectively help agents provide excellent support while handling multiple chats concurrently. These skills ensure customer concerns are addressed promptly and professionally, which is crucial for maintaining customer satisfaction and loyalty.

What are popular job titles related to Remote Live Chat Agent jobs in Washington? For Remote Live Chat Agent jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Live Chat Agent jobs in Washington look for? The top searched job categories for Remote Live Chat Agent jobs in Washington are:
What cities in Washington are hiring for Remote Live Chat Agent jobs? Cities in Washington with the most Remote Live Chat Agent job openings:
Remote Live Chat Agent jobs near you
Infographic showing various Remote Live Chat Agent job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $49,125 per year, or $23.6 per hour.

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Re-posted 29 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
 
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
 
Key Responsibilities
  • End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
  • Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
  • Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
  • Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
  • Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
  • NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
  • Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
  • Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
 
Technical & Professional Qualifications
Required Experience
  • 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
  • Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
  • Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
  • Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
 
Preferred Qualifications
  • Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
  • Analytics Driven: Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
  • Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
  • Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
  • Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
 
Benefits & Culture
  • Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
  • Impact-Driven Work: Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
  • Professional Growth: Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.