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Generative Ai Training Jobs in Georgia (NOW HIRING)

Scires

Gen AI Subject Matter Expert

Augusta, GA · On-site

$120 - $160/hr

Providing expert-level training, workshops, and briefings to AIDETL Interns on Generative AI concepts, secure AI best practices. * Architect, develop, and demonstrate advanced Generative AI Agents ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain data pipelines, model training workflows, and production-grade application ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain data pipelines, model training workflows, and production-grade application ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Advatix Inc.

LEGAL AI ADOPTION COUNSEL

Atlanta, GA · On-site

$165 - $200/hr

... of generative AI across the firm's practices within the Client & Innovation function, working closely with attorneys, practice leaders, IT, professional development, training, research, marketing ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

AI, ML, and Generative AI Architecture * Design and implement AI/ML and GenAI solution ... Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and ...

Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Develop and oversee data pipelines, model training workflows, and production-grade application ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

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Generative Ai Training information

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

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

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

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

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

What cities in Georgia are hiring for Generative Ai Training jobs?

Cities in Georgia with the most Generative Ai Training job openings:

Generative Ai Training jobs near you
Infographic showing various Generative Ai 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.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Columbus, GA • On-site

Other

Re-posted 14 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply