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Remote Live Chat Operator Jobs in Silver Spring, MD

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 ... Strong knowledge of operating systems (Windows, macOS), networking concepts, and remote support ...

Liveops

Remote Customer Service Representative

Laurel, MD · Remote

$20/hr

Comfortable using video chat and screen-sharing tools. * Adaptable to changing procedures and tech ... Client-required certification is approximately 3 weeks with self-paced eLearning and live classroom ...

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All JobsRemote Live Chat Operator JobsRemote Live Chat Operator Jobs in Silver Spring, MD

Remote Live Chat Operator information

See Silver Spring, MD salary details

$6

$24

$55

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

As of Jun 26, 2026, the average hourly pay for remote live chat operator in Silver Spring, MD is $24.23, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $27.78 per hour, depending on experience, location, and employer.

What does a typical workday look like for a Remote Live Chat Operator?

A typical day for a Remote Live Chat Operator involves managing multiple live chat conversations simultaneously, assisting customers with their questions, solving issues, and documenting each interaction within the company’s customer service system. You’ll often collaborate with team members or escalate complex cases to supervisors, but most interactions will be independently managed. The role usually follows a structured schedule, though shift flexibility may be available, and requires consistent focus to maintain quick response times. Regular communication with your remote team and ongoing training sessions are common, ensuring you stay up-to-date on products, services, and best practices.

What are the key skills and qualifications needed to thrive in the Remote Live Chat Operator position, and why are they important?

To thrive as a Remote Live Chat Operator, you need strong written communication skills, fast and accurate typing, and proficiency in using computers or customer service platforms, often proven by a high school diploma or equivalent. Familiarity with live chat software such as Zendesk, Intercom, or Freshdesk is beneficial, and previous customer service experience or certifications can be an advantage. Excellent problem-solving abilities, patience, and a customer-oriented attitude help candidates excel in this role. These skills are vital for promptly resolving inquiries, ensuring customer satisfaction, and maintaining productivity in a remote environment.

What is a Remote Live Chat Operator job?

A Remote Live Chat Operator is responsible for assisting customers through online chat platforms. They handle inquiries, provide support, and help resolve issues in real time, all while working from a remote location. This role requires strong typing skills, clear communication, and the ability to multitask efficiently. Many companies use live chat operators to improve customer service and enhance user experience.

What are popular job titles related to Remote Live Chat Operator jobs in Silver Spring, MD? For Remote Live Chat Operator jobs in Silver Spring, MD, the most frequently searched job titles are:
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What cities near Silver Spring, MD are hiring for Remote Live Chat Operator jobs? Cities near Silver Spring, MD with the most Remote Live Chat Operator job openings:
Remote Live Chat Operator jobs near you
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 15 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.