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Chatbot Training Jobs in Georgia (NOW HIRING)

JR Software Solutions, Inc.

AI/ML Engineer

Atlanta, GA · On-site +1

You'll contribute to building and scaling intelligent systems - from core ML models to chatbot and ... Implement and support MLOps practices, including model training, deployment, monitoring, and ...

PTR Global

Application Developer - Senior

Atlanta, GA · On-site

$70 - $75/hr

Candidates with transferable experience from other AI agent frameworks or chatbot technologies will ... education, training, credentials, and experience of the candidate; and other conditions of ...

RIT Solutions, Inc.

Integration Architect

Atlanta, GA · On-site

$68 - $87.75/hr

... training. • Experience working with large datasets and cloud computing platforms (e.g., AWS, GCP ... Chatbot development, and other conversational AI platforms. • Experience working in an onshore ...

Avcend

HR Specialist

Alpharetta, GA · On-site

$30/hr

Education/Training - * Associates degree or equivalent experience required * (Bachelor's degree ... chatbot/virtual agent assistants, knowledge repositories, Microsoft Teams, etc. Work Schedule: (Ex:

Slalom Consulting

General Information

Atlanta, GA · On-site

Contribute to client enablement and adoption through documentation, technical runbooks, training ... Demonstrated experience building or configuring Copilot agents or similar AI/chatbot solutions (e.g ...

EnerSys

Senior Finance AI & Automation Developer

Norcross, GA · On-site +1

$95K - $142K/yr

... training. Compensation Range: $95,300.00 - $142,900.00 Compensation may vary based on applicant ... AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ...

All JobsChatbot Training JobsChatbot Training Jobs in Georgia

Chatbot Training information

What is chatbot training?

Chatbot training is the process of teaching a chatbot how to understand and respond to user inputs effectively. This involves feeding the chatbot with example conversations, questions, and answers so it can learn to interpret language, context, and intent. Training can be done using rule-based approaches, machine learning, or a combination of both. The goal is to improve the chatbot’s accuracy and ability to provide helpful, human-like responses.

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

To thrive as a Chatbot Trainer, you need a strong understanding of natural language processing (NLP), data annotation, and linguistic analysis, typically supported by a background in linguistics, computer science, or a related field. Familiarity with annotation tools, training platforms like Dialogflow or Rasa, and knowledge of data labeling standards and processes is essential. Attention to detail, critical thinking, and clear communication are important soft skills for effective data labeling and iterative improvement. These skills ensure that chatbots are trained accurately and efficiently, leading to better conversational AI performance and user satisfaction.

What are some common challenges faced by professionals working in chatbot training, and how can they address them?

Professionals in chatbot training often encounter challenges such as ensuring the chatbot understands various user intents, handling ambiguous language, and continuously improving the bot's responses based on user feedback. Collaborating closely with data scientists, developers, and UX designers is essential to iteratively refine training data and conversational flows. Staying updated with advancements in natural language processing (NLP) can also help address limitations and maintain a high-quality user experience. Regular review of chat logs and user interactions is key to identifying areas for improvement.

What is the difference between Chatbot Training vs Chatbot Developer?

AspectChatbot TrainingChatbot Developer
Required SkillsNatural Language Processing, data annotation, machine learning basicsProgramming, software development, API integration
Work EnvironmentData labeling, model refinement, content creationCoding, system design, deployment
CertificationsAI/ML certifications, NLP coursesSoftware development certifications, coding bootcamps
Industry UsageTraining AI models for chatbots, improving understandingBuilding and maintaining chatbot platforms and applications

Chatbot Training focuses on preparing AI models through data annotation and refining language understanding, while Chatbot Developers build and implement the chatbot systems using programming skills. Both roles are essential in creating effective chatbots but differ in technical complexity and daily tasks.

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

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

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

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

What cities in Georgia are hiring for Chatbot Training jobs?

Cities in Georgia with the most Chatbot Training job openings:

Chatbot Training jobs near you
Infographic showing various Chatbot Training job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

AI/ML Engineer

Atlanta, GA • On-site, Remote

JR Software Solutions, Inc.
See more jobs at JR Software Solutions, Inc.external

Full-time

Re-posted 12 days ago

Job description

About JRSS: JRSS is an IT consulting service provider for Government and Fortune 500 clients. As a certified WOSB, SDB, and HUBZone small business, we specialize in Federal Civilian Data, Cloud, and AI/ML enterprise-level solution architecture, design, implementation, and professional staffing. Recognized on the Inc. 5000 list of fastest-growing private companies, we're proud to foster a collaborative culture where innovation and client impact come first.
The Opportunity: JRSS is seeking an AI/ML Engineer.
True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.
You'll contribute to building and scaling intelligent systems - from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.
Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.
Core Responsibilities:
  • Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
  • Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
  • Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL, and Spark.
  • Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
  • Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

You Have:
  • 3+ years of experience designing, developing, and deploying machine learning models
  • 3+ years of experience with Generative AI, LLMs, or RAG applications
  • 4+ years of hands-on experience with Python for ML and data engineering
  • Experience with SQL for data manipulation and feature engineering
  • Experience with big data tools such as Apache Spark
  • Experience with Databricks and MLOps tools like MLflow
  • Experience with cloud, preferably in Azure
  • Ability to exhibit strong communication and customer-facing skills
  • Ability to thrive both independently and in cross-functional teams
  • Ability to problem solve and stay current with emerging ML trends

Nice If You Have:
  • Experience with full-stack development or deploying end-to-end ML applications
  • Experience with chatbot development or conversational AI
  • Experience fine-tuning large models
  • Experience with deploying ML solutions using MLOps pipelines
  • Knowledge of Agile workflows and tools like JIRA

Why JRSS? Join a fast-growing, award-winning team that values professional development, collaboration, and innovation. At JRSS, our employees are our greatest asset - and your work will directly support high-impact federal and enterprise missions.
JR Software Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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