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Remote Prompt Engineering Jobs in Georgia (NOW HIRING)

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/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 ...

$125K - $160K/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 ...

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/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 ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT). * Experience ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

$185K - $198K/yr

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

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

... prompt injection, PII leakage, or unsafe tool use on agents you own. * Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering. All Remote Hires will be ...

... PA, Remote-TX, Remote-VA, Richardson, Texas Details Kemper is one of the nation's leading ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

$110K - $160K/yr

... data analysis, prompt engineering, and/or documentation * Experience as an IT Project Manager ... Achieve work-life balance through remote-first working conditions, generous time off, and wellness ...

Resolve complex technical problems by delivering accurate and timely engineering solutions ... Deliver exceptional technical support via Helpdesk, email, and remote sessions, ensuring prompt ...

Resolve complex technical problems by delivering accurate and timely engineering solutions ... Deliver exceptional technical support via Helpdesk, email, and remote sessions, ensuring prompt ...

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Remote Prompt Engineering information

See Georgia salary details

$14

$27

$40

How much do remote prompt engineering jobs pay per hour?

As of Jun 26, 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.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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 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 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.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek to optimize AI language models for various applications. Demand for prompt engineers is increasing, especially for roles involving natural language processing, AI model tuning, and familiarity with tools like GPT and other large language models.

How to make $1000 a week remote?

Remote prompt engineering involves creating and refining prompts for AI models, and experienced professionals can earn around $20 to $50 per hour. To make $1000 weekly, one would need to work approximately 20 to 50 hours at this rate, often requiring strong language skills, familiarity with AI tools, and consistent project availability. Building a portfolio and gaining certifications can help increase earning potential in this field.

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.
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 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:
AI Senior Engineer

AI Senior Engineer

ESQUIRE DEPOSITION SOLUTIONS LLC

Atlanta, GA • On-site, Remote

$100K - $138K/yr

Full-time

Posted 20 days ago


Job description

Are you an AI-focused engineer passionate about building production-ready products that transform legal workflows?
Join Esquire as an AI Senior Engineer-a high-impact role where you'll build AI-powered services that enhance deposition workflows and help evolve our deposition intelligence platform.
Why Choose Esquire?
Esquire is a leader in legal support services, known for innovation, professionalism, and delivering exceptional quality. As part of our team, you'll help build intelligent tools that improve transcript processing, attorney workflows, and deposition insights at scale. At Esquire, we are focused on Getting it Right for our clients, our partners, and our employees, and we empower our teams to create secure, scalable technology that delivers meaningful business value.
About the Role
As an AI Senior Engineer, you'll design, build, and deploy AI-powered products and services across the product platform. You'll deliver production-grade transcript intelligence, scalable infrastructure, RAG-based search and retrieval, and attorney-facing AI features that support deposition preparation, real-time assistance, and post-deposition analysis.
Key Responsibilities
  • Design, build, and maintain AI-powered APIs for high-volume transcript ingestion, analysis, and structured output delivery
  • Develop transcript intelligence systems using deterministic processing, LLM-based analysis, and audio review
  • Build and optimize RAG pipelines, including document parsing, embeddings, vector storage, and retrieval strategies
  • Develop attorney-facing AI features for deposition preparation, real-time assistance, and post-deposition workflows
  • Contribute to platform consolidation, service integration, and internal workflow automation
  • Design, implement, and operate distributed systems using synchronous and asynchronous communication patterns
  • Debug and maintain services across Rails APIs, TypeScript services, and Google Cloud infrastructure
  • Collaborate with engineering leadership to define architecture, evaluate trade-offs, and deliver scalable solutions
  • Write, test, and deploy production code across the full software development lifecycle
  • Maintain observability across services, including logging, tracing, and error monitoring
  • Document technical decisions, track work clearly, and communicate progress and blockers effectively
What You'll Need
  • Skills: Strong problem-solving, communication, organization, and technical ownership skills
  • AI/ML: Demonstrated expertise in AI/ML application development, LLM integration, prompt engineering, evaluation, and AI-assisted development tools
  • RAG: Ability to build and maintain RAG systems, including document processing, embeddings, and retrieval optimization
  • Technical: Strong programming skills in Python and at least one of TypeScript or Ruby
  • Cloud: Experience with cloud infrastructure, preferably Google Cloud Platform, including event-driven architectures
  • Architecture: Experience with distributed systems, microservices, API design, CI/CD pipelines, containerization, and infrastructure as code
  • Experience: 7+ years of software engineering experience with a focus on backend or full stack development
  • Education: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
  • Attributes: Collaborative, low-ego, team-first mindset with a commitment to documentation, testing, and continuous improvement. Must speak English fluently.
What Success Looks Like
  • Delivery of production-ready AI features within defined timelines, including initial deployment within the first 90 days
  • Improved transcript processing accuracy, scalability, and system reliability
  • Successful deployment and performance of RAG-based search and retrieval capabilities
  • System uptime, latency, and error rates within acceptable thresholds for high-volume processing
  • High-quality, maintainable code with strong test coverage and documentation
  • Effective collaboration and communication across the engineering team
Work Environment
This is a fully remote position. The position requires focus, collaboration, and the ability to manage complex technical workstreams while supporting scalable AI product development.
Don't meet every single requirement?
We're committed to building a diverse and inclusive workplace. If you're excited about this role but your experience doesn't align perfectly, we still encourage you to apply-you may be just the right person for this or other opportunities.
Equal Opportunity & Accommodations:
Esquire Deposition Solutions policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
Esquire Deposition Solutions is committed to fair hiring practices. Qualified applicants with criminal histories will be considered for employment in a manner consistent with applicable laws, including but not limited to the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and the Los Angeles County Fair Chance Ordinance. We also comply with similar laws in other jurisdictions where we operate.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request reasonable accommodation. You can submit your request to talent.acquisition@esquiresolutions.com.