ZipRecruiter

Log In

1

Chatbot Support Jobs in Georgia (NOW HIRING)

Avcend

HR Specialist

Alpharetta, GA · On-site

$30/hr

As a first-level HR Support Specialist, you will handle telephonic and electronic inquiries from ... chatbot/virtual agent assistants, knowledge repositories, Microsoft Teams, etc. Work Schedule: (Ex:

First American

Design and maintain semantic data models that support AI readiness, advanced analytics, and chatbot capabilities. Reporting & Data Management * Gather, consolidate, and analyze data from multiple ...

CYNET SYSTEMS

AI Java Full Stack Lead

Atlanta, GA · On-site

$70 - $75/hr

Develop AI assistants, intelligent search, chatbot, and automation solutions. * Build and optimize ... Support data-driven healthcare initiatives and digital transformation projects. * Collaborate with ...

Booz Allen Hamilton

AL/ML Technical Lead

Atlanta, GA · On-site

$128K - $292K/yr

... supporting Public Health and Safety. You will lead the design and implementation of scalable ... Experience with conversational AI, chatbot systems, or full‑stack AI application development.

Recruit Up, LLC

Help Desk Manager

Duluth, GA · On-site

The majority of the work is customer-facing; you'll also provide first-line internal IT support for ... FAQs, troubleshooting guides, AI-assisted responses, and chatbot flows, so common issues resolve ...

previous pagenext page

Showing results 21-40

All JobsChatbot Support JobsChatbot Support Jobs in Georgia

Chatbot Support information

See Georgia salary details

$14

$33

$57

How much do chatbot support jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for chatbot support in Georgia is $33.67, according to ZipRecruiter salary data. Most workers in this role earn between $24.95 and $39.38 per hour, depending on experience, location, and employer.

What is a chatbot support?

A Chatbot Support job involves managing and optimizing chatbot interactions to assist users efficiently. Responsibilities typically include troubleshooting chatbot issues, refining responses, and improving user experience. This role may also involve analyzing chatbot performance data and collaborating with developers to enhance functionality. Strong communication skills and familiarity with AI or NLP technologies can be beneficial.

What does a chatbot support do?

As a Chatbot Support professional, you will spend your day monitoring chatbot conversations, troubleshooting user issues, and escalating complex queries to human agents when necessary. You'll also analyze conversation logs to identify recurring problems, update knowledge base articles, and suggest improvements for better user experience. Collaborating closely with technical teams and customer service departments is common to ensure seamless chatbot performance. This role offers a dynamic work environment where your contributions can have a direct impact on customer satisfaction and the continuous improvement of automated support systems.

What are the key skills and qualifications needed to thrive in chatbot support?

To thrive as a Chatbot Support professional, you need strong written communication skills, problem-solving abilities, and familiarity with customer service protocols. Experience with chatbot management platforms, CRM systems, and basic knowledge of troubleshooting chat solutions is often required. Patience, adaptability, and a customer-focused mindset help individuals excel in this role. These skills are crucial for ensuring efficient and effective support to users interacting with automated systems while maintaining high customer satisfaction.

What are popular job titles related to Chatbot Support jobs in Georgia?

For Chatbot Support jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Chatbot Support jobs in Georgia look for?

The top searched job categories for Chatbot Support jobs in Georgia are:

Chatbot Support jobs near you
Infographic showing various Chatbot Support job openings in Georgia as of August 2026, with employment types broken down into 64% Full Time, 13% Part Time, and 23% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $70,025 per year, or $33.7 per hour.

Sr. AI Engineer - Atlanta, GA - Min 8+ Years experience

Atlanta, GA • On-site

Hexaware Technologies, Inc
IT Services • 10K+ employees
Learn more about Hexaware Technologies, Incexternal

Other

Posted 28 days ago

Job description

Position Summary

We are seeking an AI Engineer to support model transformation initiatives focused on modernizing how models are monitored, governed, reported, and improved. This role will contribute to Model Performance Monitoring, MLOps enablement, reporting automation, dashboard development, backend services, and GenAI-enabled model insights.

The ideal candidate is a hands-on engineer with strong Python backend development skills, practical experience with data and cloud technologies, and an interest in building scalable, secure, and user-friendly platforms for model monitoring and governance. The candidate does not need to have every skill listed below but should bring experience in several core areas and the ability to learn quickly in an enterprise environment.

Key Responsibilities

Design and develop backend services and APIs to support model performance monitoring, data ingestion, reporting, dashboarding, and workflow integration.

Build RESTful services using modern Python frameworks such as FastAPI, SQL Alchemy, and Pydantic.

Develop data processing capabilities for model monitoring inputs, including JSON, Excel, and relational data sources.

Design and maintain database schemas, data models, and optimized SQL queries using PostgreSQL or similar databases.

Support automated model monitoring reports, executive dashboards, and PDF report generation.

Contribute to interactive dashboards and analytics views that help users evaluate model health, performance trends, drift indicators, and monitoring status.

Support frontend development where needed using Angular, TypeScript, RxJS, and component-based UI patterns.

Integrate visualization tools such as Plotly.js, Chart.js, or Tableau dashboards.

Build cloud-native components using AWS services such as S3, Lambda, and boto3.

Support secure file storage, retrieval, report generation, and data exchange across enterprise systems.

Contribute to DevOps practices including Docker, CI/CD pipelines, Git-based workflows, SonarQube, environment configuration, and deployment automation.

Help develop GenAI-enabled features such as AI-assisted model insights, report summarization, chatbot integration, and prompt-based analytics.

Collaborate with model developers, technology teams, architecture, governance, risk, and business stakeholders to deliver secure, scalable, and audit-ready solutions.

Required Qualifications

Bachelor s degree in computer science, Engineering, Data Science, Information Systems, Mathematics, or a related technical field.

Strong hands-on experience with Python and backend application development.

Experience building REST APIs and working with modern API design patterns.

Practical knowledge of relational databases, SQL, schema design, and data modeling.

Experience processing structured and semi-structured data, including JSON and Excel files.

Familiarity with model lifecycle concepts, model monitoring, MLOps, data validation, or AI/ML application development.

Experience with cloud-native development, preferably AWS.

Working knowledge of Git, CI/CD practices, containerization, and deployment workflows.

Strong problem-solving skills, attention to detail, and ability to work across technical and business teams.

Good documentation and communication skills.

Apply