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Ai Prompt Training Jobs in Decatur, GA (NOW HIRING)

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

... training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class ... and reusable prompt and context patterns * Implement retrieval-augmented generation patterns ...

Cherry Bekaert

AI Center of Excellence Director

Atlanta, GA · On-site

$45K - $62K/yr

Directs the Production Track - the Workflow Architect and Prompt + Skills Engineers - in shipping ... Activates and sustains the Coordination Track, partnering with the AI Training Lead and Use Case ...

Alston

Legal AI Solutions Analyst

Atlanta, GA · On-site

Provide training, documentation, and user support to drive adoption of AI tools. * Ensure ... Experience as a prompt engineer or in product support/business analysis with exposure to low/no ...

Infosys

Gen AI and Agentic AI Engineer

Alpharetta, GA · On-site

... training programs, documentation, and support frameworks to ensure a smooth transition to new ... prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases • Exposure to ...

US Bank

AI Red Team Lead Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Knowledge of AI threat models and attack techniques including, but not limited to, prompt injection, model extraction, training data poisoning, inference abuse, hallucination exploitation

Salesforce, Inc.

Applied AI Coach

Atlanta, GA

Hands-on experience with prompt engineering, vibe-coding tools, or LLMs * Strong analytical skills ... It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training ...

Salesforce, Inc.

Applied AI Coach

Atlanta, GA · On-site

Hands-on experience with prompt engineering, vibe-coding tools, or LLMs * Strong analytical skills ... It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training ...

Forrester

AI Solutions Partner

Atlanta, GA · Remote

$112K/yr

This individual will help build the playbook, training, and field assets that allow Forrester's go ... Working fluency in genAI fundamentals, including LLMs, prompt design, retrieval-augmented ...

New

Nasdaq

AI Engineer

Atlanta, GA · On-site

... training foundational models from scratch. We're looking for someone who can turn AI into useful ... Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering ...

Nasdaq

AI Engineer

Atlanta, GA · Hybrid

... training foundational models from scratch.We'relooking for someone who can turn AI into useful ... Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering ...

JConnect Infotech

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

... prompt engineering, guardrails for GenAI applications, and LLM fine-tuning * Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training ...

Diverse Lynx

AI&ML Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

... prompt engineering, guardrails for GenAI applications, and LLM fine-tuning Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training ...

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All JobsAi Prompt Training JobsAi Prompt Training Jobs in Decatur, GA

Ai Prompt Training information

See Decatur, GA salary details

$31.2K

$67.1K

$109.3K

How much do ai prompt training jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai prompt training in Decatur, GA is $67,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $82,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in AI prompt training and how can they be addressed?

Professionals in AI prompt training often encounter challenges such as maintaining prompt clarity, avoiding biased or ambiguous language, and continuously adapting to evolving AI models. It can be tricky to strike the right balance between specificity and flexibility in prompts to achieve reliable outputs. Collaboration with data scientists and AI developers is key to refining prompts and understanding model behavior. Regularly reviewing prompt outcomes, participating in team feedback sessions, and staying updated on best practices can help address these challenges and improve the quality of prompt training.

What is AI prompt training?

AI prompt training is the process of designing, refining, and testing prompts to guide artificial intelligence models, such as language models, to produce accurate, relevant, and useful outputs. This involves understanding how the AI interprets different instructions and iteratively improving prompts to achieve desired results. People working in AI prompt training often experiment with phrasing, context, and structure of prompts to optimize AI performance for various tasks, including content generation, summarization, or problem solving.

What is the difference between Ai Prompt Training vs Ai Content Writer?

AspectAi Prompt TrainingAi Content Writer
Required CredentialsKnowledge of AI models, training techniques, and prompt engineeringWriting skills, SEO knowledge, and content creation experience
Work EnvironmentTech companies, AI labs, remote or office-based roles focused on AI model developmentMarketing agencies, media companies, or freelance platforms creating written content
Employer & Industry UsageUsed by AI developers and tech firms to improve AI interactionsUsed by content marketing and publishing industries to produce engaging articles

While Ai Prompt Training involves developing and refining prompts to optimize AI responses, Ai Content Writers focus on creating high-quality written content for various platforms. Both roles require strong communication skills, but Ai Prompt Training emphasizes technical understanding of AI models, whereas Ai Content Writers prioritize writing and SEO expertise.

Are there careers in AI prompting?

Careers in AI prompting involve designing and refining prompts to improve AI model responses, often requiring skills in natural language processing, creativity, and understanding of AI tools like language models. These roles are emerging as AI technology advances and are typically found in fields such as AI development, content creation, and data science.

What are the key skills and qualifications needed to thrive as an AI Prompt Trainer, and why are they important?

To excel as an AI Prompt Trainer, you need a solid understanding of natural language processing, machine learning concepts, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms, prompt engineering tools, and annotation systems is typically required, as well as experience with programming languages like Python. Strong communication, creativity, and attention to detail are important soft skills for crafting effective prompts and collaborating with development teams. These skills ensure that AI models are trained efficiently, resulting in accurate and contextually relevant outputs that meet user needs.
What are popular job titles related to Ai Prompt Training jobs in Decatur, GA? For Ai Prompt Training jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Training jobs in Decatur, GA look for? The top searched job categories for Ai Prompt Training jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Ai Prompt Training jobs? Cities near Decatur, GA with the most Ai Prompt Training job openings:
Ai Prompt Training jobs near you

Senior AWS Cloud & Generative AI Engineer

Purple Drive Technologies

Atlanta, GA • On-site

$53.50 - $71.75/hr

Full-time

Posted 4 days ago

Job description

Overview:
Key Responsibilities:
  • Design, develop, and implement Generative AI solutions leveraging Amazon Bedrock and related AWS services.
  • Configure and optimize Amazon Bedrock Agent Orchestration for intelligent workflow and model lifecycle management.
  • Apply Prompt Engineering methodologies for fine-tuning and optimizing AI model outputs.
  • Implement Amazon Bedrock Guardrails to ensure compliance, brand safety, and responsible AI governance.
  • Integrate and manage Amazon Knowledge Bases and Vector Databases to enhance contextual understanding and retrieval-augmented generation (RAG) workflows.
  • Employ MLOps practices to automate model training, deployment, and monitoring within enterprise environments.
  • Build and maintain CI/CD pipelines to support scalable and efficient deployment of AI and cloud-native applications.
  • Utilize AWS services including CloudFormation, CDK, Step Functions, Lambda, EventBridge, DynamoDB, S3, Glue, and Athena to design and orchestrate robust cloud infrastructures.
  • Develop infrastructure as code (IaC) solutions using AWS CDK and CloudFormation, ensuring version control and repeatable deployments.
  • Collaborate with data scientists, solution architects, and DevOps teams to integrate AI capabilities with existing business systems.
  • Create and maintain comprehensive technical documentation, including runbooks, design documents, and troubleshooting guides for deployed solutions.
  • Ensure all solutions meet AWS best practices for security, compliance, scalability, and cost optimization.
Required Skills & Experience:
  • 10+ years of hands-on experience in AWS Cloud Computing within enterprise environments.
  • Proven experience with Amazon Bedrock, including agent orchestration, workflow management, and model fine-tuning.
  • Strong knowledge of Generative AI architectures, LLM integration, and Prompt Engineering techniques.
  • Expertise in AWS Cloud Development Kit (CDK), CloudFormation, and Infrastructure as Code (IaC) principles.
  • Proficiency with AWS services such as S3, Lambda, EventBridge, DynamoDB, Glue, Step Functions, and Athena.
  • Experience implementing MLOps pipelines using AWS-native tools and frameworks.
  • Solid understanding of CI/CD pipeline automation using AWS or third-party tools (e.g., CodePipeline, Jenkins, GitHub Actions).
  • Familiarity with security and compliance standards for AI and cloud environments.
  • Strong problem-solving, analytical, and communication skills, with a proven ability to work collaboratively across technical and non-technical teams.
Preferred Qualifications:
  • AWS Certified Solutions Architect / DevOps Engineer / Machine Learning Specialty certification.
  • Experience deploying Retrieval-Augmented Generation (RAG) systems using AWS Bedrock and vector search technologies.
  • Prior experience integrating LLMs (e.g., Anthropic Claude, Amazon Titan, or other Bedrock models) into enterprise solutions.
  • Working knowledge of Python, TypeScript, or Java for automation and API integration.

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