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Remote Chat Agent Jobs (NOW HIRING)

Familiarity with prompt engineering , tool calling , and chat agent architectures . * Strong ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

$17/hr

Customer Service Agent/Representative - Remote Work Timing: 4 AM PST to 10:00 PM PST (Monday ... Answer inbound telephone calls as well as customer inquiries in other channels (email, chat, SMS ...

Remote Medicare Call Center Agent Join Fortuna as a full-time Medi-Cal Call Center Agent ... This is a phone-based position with no email or chat interaction with members. Candidates must ...

Showing results 21-40

Remote Chat Agent information

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$9

$21

$51

How much do remote chat agent jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote chat agent in the United States is $21.56, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $21.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote chat agent, and why are they important?

To thrive as a Remote Chat Agent, you need excellent written communication, strong typing skills, and a high school diploma or equivalent. Familiarity with customer relationship management (CRM) systems, chat platforms, and ticketing software is typically required. Outstanding problem-solving abilities, patience, and attention to detail help agents deliver a positive customer experience. These skills are crucial for efficiently resolving customer inquiries and maintaining high satisfaction in a remote, fast-paced environment.

What does a remote chat agent do?

A remote chat agent answers customer questions through an online chat platform. Your primary responsibilities are to assist customers and troubleshoot issues. You address minor problems and escalate complicated situations to the proper resources. You connect with clients quickly and provide live help. Your duties include using the chat platform, diagnosing the client's problem, communicating until full satisfaction, and assisting with resolutions. A remote chat agent can work in a call center, office environment, or from home.

What is a remote chat agent?

Remote chat agents are customer service professionals who assist customers via online chat platforms, rather than over the phone or in person. They work from a remote location, such as their home, using computers and internet connections to communicate with clients or customers. Their main responsibilities include answering questions, resolving issues, providing product or service information, and ensuring customer satisfaction. Remote chat agents often work for various industries, including retail, technology, and financial services, offering support through live chat, messaging apps, or social media.

What are some common challenges faced by remote chat agents, and how can they be managed effectively?

Remote Chat Agents often encounter challenges such as handling multiple conversations simultaneously, maintaining a consistent and friendly tone, and resolving customer issues efficiently without face-to-face interaction. Effective time management, clear written communication skills, and familiarity with the company’s resources and support tools are essential for success. Many organizations provide training, knowledge bases, and regular team check-ins to help agents stay informed and supported while working remotely.
What cities are hiring for Remote Chat Agent jobs? Cities with the most Remote Chat Agent job openings:
What are the most commonly searched types of Chat Agent jobs? The most popular types of Chat Agent jobs are:
What states have the most Remote Chat Agent jobs? States with the most job openings for Remote Chat Agent jobs include:
Infographic showing various Remote Chat Agent job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,844 per year, or $21.6 per hour.

Full-time

Re-posted 20 days ago


Job description

About CoreStory
CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.
We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.
Role Overview
As an AI Engineer, you'll play a central role in developing and optimizing the AI components that power CoreStory's narrative intelligence platform. You'll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.
You'll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack - ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.
Key Responsibilities
  • Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration).
  • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
  • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
  • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform.
  • Develop and refine AI-driven features - including generative insights, automated summarization, and narrative analytics.
  • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory's cloud infrastructure.
  • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization.
  • Stay current with advancements in AI - from model architectures to emerging frameworks - and propose innovative applications aligned with CoreStory's mission.
  • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.
Qualifications
Required Skills:
  • 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP.
  • Strong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
  • Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
  • Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
  • Proficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy.
  • Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization.
  • Familiarity with prompt engineering, tool calling, and chat agent architectures.
  • Strong problem-solving and analytical mindset, with attention to performance and scalability.
  • Demonstrated interest in staying up-to-date with the fast-evolving AI landscape.

Preferred:
  • Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).
  • Exposure to LangGraph, semantic search, or hybrid RAG systems.
  • Familiarity with knowledge graphs, document intelligence, or multimodal AI.
  • Previous experience in SaaS or early-stage startup environments.
What We Offer
  • Competitive compensation and equity.
  • Flexible, remote-first work environment.
  • Opportunities to define and build the AI roadmap of a fast-growing technology company.
  • Collaborative, learning-oriented culture.
  • Access to cutting-edge AI models, research, and infrastructure.