ZipRecruiter

Log In

2

Remote Prompt Engineering Jobs in Georgia (NOW HIRING)

R2 Technologies

AI/ML Engineer - Q126

Alpharetta, GA · On-site +1

Alpharetta, GA (Hybrid / Remote Options Available) Employment Type: Full-Time / Contractual About ... prompt engineering, tool use (function calling), and fine-tuning. * Practical experience building ...

Quora

AI Automation Engineer -Remote

Columbus, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Kennesaw, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Macon, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Savannah, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Athens, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Valdosta, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Augusta, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Carrollton, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Atlanta, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Lawrenceville, GA · On-site +1

$202.38K - $234.20K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

CirrusLabs

Senior DevOps Engineer - Azure Cloud

Alpharetta, GA · Remote

$126.90K - $163K/yr

Job Title Senior DevOps Engineer - Azure Cloud Location Remote (LATAM-based; major regional hubs ... Familiarity with LLM Ops, AI observability, prompt engineering, or AI-powered DevOps enhancements.

Juvare

$125K - $160.60K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) * Familiarity with ...

Juvare

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160.60K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) * Familiarity with ...

eTeam

API Customer Experience Professional

Atlanta, GA · On-site +1

Open to Minneapolis, MN 55402 and Atlanta, GA 30328, It could be either fully remote or hybrid. 3 ... Experience in prompt engineering: design, writing, and refining prompts to achieve desired AI ...

First American

$185.10K - $198.60K/yr

Apply prompt engineering, LLM orchestration, and agentic workflow frameworks where appropriate. * Support model/service evaluation, monitoring, and performance tuning (quality, latency, cost)

next page

Showing results 1-20

People also search for

All JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Georgia

Remote Prompt Engineering information

See Georgia salary details

$14

$27

$40

How much do remote prompt engineering jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote prompt engineering in Georgia is $27.91, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $32.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Prompt Engineer, and why are they important?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

How can I make 2000 a week working from home?

Remote prompt engineering is a freelance or contract role that can generate significant income if you have strong skills in AI, natural language processing, and prompt design. Earning $2000 weekly typically requires multiple clients, high-quality work, and efficient time management, often involving project-based tasks or retainer agreements. Building a portfolio and gaining experience with tools like GPT models can help increase earning potential.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Georgia? The most popular types of Prompt Engineering jobs in Georgia are:
What are popular job titles related to Remote Prompt Engineering jobs in Georgia? For Remote Prompt Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Georgia look for? The top searched job categories for Remote Prompt Engineering jobs in Georgia are:
What cities in Georgia are hiring for Remote Prompt Engineering jobs? Cities in Georgia with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Georgia as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $58,060 per year, or $27.9 per hour.
AI/ML Engineer

AI/ML Engineer

Frontier Technology

Atlanta, GA • Remote

$140K - $220K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description


AI/ML Engineer
ID
2026-6946
Category
Engineering
Type
Regular Full-Time
Location : Location
US-GA-Atlanta
Telecommute
Yes
Clearance Requirements
No clearance
Overview

Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
    Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.

  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.

  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

#LI-SB1

#LI-Remote

Apply