ZipRecruiter

Log In

1

Chat Agent Jobs (NOW HIRING)

Zelis

Director, AIEmpowerment

Saint Louis, MO · On-site

The Zelis enterprise chat agent and integrations into the Zelis office suite. * Software development agents, such as GitHub copilotand Cursor. * Custom agents tailored to role-specific tasks.

Supper

Forward Deployed Data Analyst

New York, NY · On-site

$130/day

Supper's chat agent guides users with follow-ups, clarifies intent, and helps them drill into what they actually want to know - whether it's sales tracking pipeline velocity, product digging into ...

Zelis

Director, AIEmpowerment

Morristown, NJ · On-site

The Zelis enterprise chat agent and integrations into the Zelis office suite. * Software development agents, such as GitHub copilotand Cursor. * Custom agents tailored to role-specific tasks.

Zelis

Director, AIEmpowerment

Atlanta, GA · On-site

The Zelis enterprise chat agent and integrations into the Zelis office suite. * Software development agents, such as GitHub copilotand Cursor. * Custom agents tailored to role-specific tasks.

Zelis

Director, AI Empowerment

Morristown, NJ · On-site

The Zelis enterprise chat agent and integrations into the Zelis office suite. * Software development agents, such as GitHub copilot and Cursor. * Custom agents tailored to role-specific tasks.

Zelis

Director, AIEmpowerment

Boston, MA · On-site

The Zelis enterprise chat agent and integrations into the Zelis office suite. * Software development agents, such as GitHub copilotand Cursor. * Custom agents tailored to role-specific tasks.

Zelis

Director, AIEmpowerment

Saint Petersburg, FL · On-site

The Zelis enterprise chat agent and integrations into the Zelis office suite. * Software development agents, such as GitHub copilotand Cursor. * Custom agents tailored to role-specific tasks.

Gotham Biotech

Online Chat Representative

Portland, ME · Remote

$24 - $27/hr

We are seeking a proactive and customer-focused Online Chat Representative to join our dynamic support team. In this role, you will serve as the primary digital touchpoint for customers seeking ...

next page

Showing results 1-20

All JobsChat Agent Jobs

Chat Agent information

See salary details

$5

$17

$24

How much do chat agent jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for chat agent in the United States is $17.15, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

How does a Chat Agent typically collaborate with other departments to resolve customer inquiries?

Chat Agents often act as the first point of contact for customers, but resolving certain inquiries may require close collaboration with other departments, such as technical support, billing, or sales. It's common for Chat Agents to escalate complex issues or coordinate with subject matter experts to ensure customers receive accurate and timely solutions. Effective communication and documentation are key, as agents must relay customer concerns clearly and follow up on the status of escalated cases. This collaborative environment helps build a supportive team culture and ensures high-quality customer service.

What are Chat Agents?

Chat Agents are customer service professionals who assist customers through online chat platforms. They handle inquiries, provide information about products or services, troubleshoot issues, and resolve customer concerns in real time. Chat Agents typically work for businesses in industries like e-commerce, technology, and telecommunications. Their main goal is to ensure customer satisfaction by delivering quick and accurate responses through text-based communication.

What is the difference between Chat Agent vs Customer Service Representative?

AspectChat AgentCustomer Service Representative
CredentialsHigh school diploma or equivalent; training in chat softwareHigh school diploma or equivalent; training in customer service skills
Work EnvironmentOnline, remote or call center settings, primarily via chat platformsCall centers, retail stores, or office settings, via phone or in person
Industry UsageCommon in e-commerce, tech support, and online services

Chat Agents primarily handle customer inquiries through online chat platforms, focusing on quick, written communication. Customer Service Representatives may work via phone, in person, or chat, providing broader support. While both roles require strong communication skills, Chat Agents specialize in digital, text-based interactions, often in online environments, whereas Customer Service Reps may handle a wider range of customer issues across multiple channels.

How to make $1000 a week remotely?

A chat agent can earn $1000 a week remotely by working multiple shifts, providing high-quality customer support, and gaining experience to handle more complex inquiries. Increasing hourly rates through specialized skills or certifications and working for multiple clients or companies can also boost income. Consistent performance and efficient communication are key to reaching higher earnings in this role.

How do I become an online chat agent?

To become an online chat agent, you typically need good communication skills, basic computer literacy, and sometimes prior customer service experience. Many employers require a high school diploma or equivalent and may provide training on specific chat platforms or tools. Having a quiet work environment and being able to work flexible hours can also be beneficial.

What are the key skills and qualifications needed to thrive as a Chat Agent, and why are they important?

To thrive as a Chat Agent, you need excellent written communication skills, strong problem-solving abilities, and a high school diploma or equivalent. Familiarity with customer relationship management (CRM) platforms, live chat software, and typing proficiency are typically required. Patience, active listening, and adaptability help build rapport and efficiently address diverse customer concerns. These skills are crucial for delivering prompt, accurate, and positive customer experiences in a digital environment.

How much do chat agents make?

Chat agents typically earn between $10 and $20 per hour, depending on experience, location, and the company. Some roles may offer additional benefits or performance-based bonuses, especially for agents with specialized skills or certifications in customer service tools.

Are chat agent jobs legit?

Chat agent jobs are legitimate positions where individuals handle customer inquiries via online chat platforms. They often require good communication skills, basic computer knowledge, and sometimes specific training or certifications. As with any job opportunity, it is important to verify the employer's credibility to avoid scams.

What Does a Chat Agent Do?

A chat agent works with customers to answer questions and provide real-time support for their concerns. In this career, you may work strictly with sales or troubleshoot technical issues. Your responsibilities include responding quickly through live chat and providing courteous and professional customer service. Your duties also typically involve email communication for following up with help tickets. You often train users on the correct use of a product or help them do minor repairs on their own. As a chat agent, you usually work in an office or call center with other team members.

More about Chat Agent jobs
What cities are hiring for Chat Agent jobs? Cities with the most 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 Chat Agent jobs? States with the most job openings for Chat Agent jobs include:
What job categories do people searching Chat Agent jobs look for? The top searched job categories for Chat Agent jobs are:
Chat Agent jobs near you
Infographic showing various Chat Agent job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 18% Part Time, 9% Temporary, and 5% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $35,664 per year, or $17.1 per hour.
GCP Gemini AI Developer

GCP Gemini AI Developer

Co-Sourcing Partners

Chicago, IL • On-site

Full-time

Re-posted 11 days ago

Job description

Job Title: GCP Gemini AI Developer (3-5 Years Experience)
Location: Remote / Hybrid - Chicago preferred
Employment Type: Contract / Full-Time
Reports To: GCP Technical Lead / AI Program Manager
Purpose
The GCP Gemini AI Developer will design, build, and deploy intelligent applications leveraging Google Cloud's Gemini models and Vertex AI platform. This role exists to operationalize advanced GenAI capabilities - including natural language understanding, multimodal reasoning, and generative automation - within scalable, secure, and production-ready cloud environments.
The developer will work hands-on across data engineering, AI model orchestration, and API integration to create AI-driven business solutions that reduce manual effort, enhance decision-making, and unlock measurable value from enterprise data.
Key Performance Outcomes (6-12 Months) Outcome What Success Looks Like Measurement 1. Gemini-Powered Solutions Deployed Design, develop, and deploy at least two Gemini-based AI solutions (e.g., document summarization, chat agent, or data extraction automation) using Vertex AI + Gemini APIs. Delivered to production with >90% accuracy and <2s response time. 2. Scalable Cloud Architecture Build a modular AI microservices framework using Cloud Run / Cloud Functions with integrated authentication, logging, and monitoring. Reusable components adopted in at least 3 future use cases. 3. RAG / Context-Aware Workflows Implement Retrieval-Augmented Generation (RAG) pipelines combining Gemini + BigQuery or vector databases for knowledge grounding. Demonstrated 25% reduction in hallucination or response variance. 4. Cross-Team Enablement Partner with Data, Automation, and AppDev teams to integrate Gemini AI into existing business workflows (e.g., UiPath, Power Platform, or ServiceNow). Minimum of 2 successful integrations with documented ROI. 5. Continuous Optimization Monitor, retrain, and improve AI models via Vertex AI pipelines and Model Monitoring. Demonstrated 15% performance gain over baseline models. Core Responsibilities
  • Design and deploy Gemini 1.5 Pro/Flash integrations via Vertex AI and Generative AI Studio.
  • Build serverless APIs and backend services for AI workflows using Cloud Run, Functions, or App Engine.
  • Develop data ingestion and preprocessing pipelines using BigQuery, Dataform, and Pub/Sub.
  • Apply prompt engineering and parameter tuning to improve generative model accuracy.
  • Implement RAG pipelines leveraging Vertex Matching Engine or Pinecone.
  • Collaborate with automation and data teams to embed AI into existing business processes.
  • Maintain compliance with security, privacy, and model governance standards.

Technical Environment
Core Google Cloud Services
  • Vertex AI, Generative AI Studio, Gemini API
  • BigQuery, BigQuery ML, Dataform
  • Cloud Run, Cloud Functions, Cloud Storage
  • Pub/Sub, Secret Manager, IAM, Cloud Build

Programming Stack
  • Python or TypeScript (Google Cloud SDKs, google-generativeai, aiplatform)
  • FastAPI / Flask / Node.js
  • LangChain / LlamaIndex for orchestration
  • SQL, Pandas, and Jupyter for data prep

Complementary Tools
  • Terraform (IaC)
  • GitHub / GitLab CI/CD
  • Vertex AI Pipelines & Model Registry
  • Vector DB (Vertex Matching Engine, Pinecone, or Weaviate)

Ideal Profile
  • 3-5 years hands-on GCP development experience with AI/ML exposure
  • Strong working knowledge of Vertex AI, Gemini models, and RAG pipeline design
  • Demonstrated ability to move AI prototypes into production
  • Strong communicator, able to collaborate across automation, data, and cloud teams
  • Curious problem-solver passionate about applied AI innovation

Success Metrics
  • Speed to Delivery: End-to-end deployment within 8-10 weeks per use case
  • Model Effectiveness: >90% accuracy or relevance rating from business stakeholders
  • Scalability: Framework reused for ≥3 additional AI initiatives
  • Business Impact: 25%+ improvement in productivity or efficiency from deployed use cases

Apply