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Remote Prompt Engineering Jobs in Georgia (NOW HIRING)

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Build internal tooling, prompt patterns, and agentic workflows that make the whole team faster, not ... ENGINEERING PRINCIPLES We are a remote-first, AI-native engineering team. Here is what that looks ...

Sr. Innovation Software Engineer

Atlanta, GA · On-site +1

$118K - $155K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Build AI-enabled application capabilities (e.g., agent workflows, prompt/tooling patterns ...

Sr. Innovation Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Build AI-enabled application capabilities (e.g., agent workflows, prompt/tooling patterns ...

Sr. Innovation Software Engineer

Atlanta, GA · On-site +1

$118K - $155K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Build AI-enabled application capabilities (e.g., agent workflows, prompt/tooling patterns ...

Senior Underwriter - E&O

Atlanta, GA · On-site +1

$110K - $140K/yr

Provide prompt and accurate customer service on policy transactions * Ensure all risks considered ... Knowledge of E&O market with an emphasis on Architects and Engineer underwriting * Knowledge of E&O ...

New

Litigation Claims Adjuster, Rideshare

Atlanta, GA · On-site +1

$47K - $62K/yr

In addition, you will collaborate closely with our product and engineering teams to give feedback ... Ability and willingness to communicate both on the phone and in written form in a prompt, courteous ...

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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 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.

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:
Senior Software Engineer

Senior Software Engineer

Ticket Evolution

Atlanta, GA • On-site, Remote

$117K - $155K/yr

Full-time

Posted 24 days ago


Job description

ABOUT VICTORY LIVE
Victory Live is a private equity backed technology company aimed at maximizing distribution and yield for live event ticket inventory. We provide an end-to-end software platform for the live ticketing industry, managing thousands of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues, and professional resellers. Victory Live's comprehensive offerings include an established B2B marketplace along with both a full-service and an automated SaaS platform to handle all elements of the ticket sales lifecycle, from ingestion to sales fulfillment.
THE POSITION
The Sr. Software Engineer is the engine room of our engineering org. You will lead projects from planning through execution, write the code on the hardest pieces, and raise the bar for the engineers around you. You'll also be a force multiplier for AI-assisted development on your team, modeling how to use Claude, Copilot, and agentic workflows to ship faster without compromising quality.
RESPONSIBILITIES
  • Lead delivery of more in-depth initiatives from planning through launch in partnership with product and technical leadership, where you own the technical execution.
  • Take on the hard parts. When a project has a complex or critical piece, you're the one writing it.
  • Shape architecture. Participate actively in design discussions, write design docs, and weigh tradeoffs out loud so the team can learn from your reasoning.
  • Mentor mid-level and junior engineers. Pair, code-review thoughtfully, and help teammates level up their skills, including their AI tooling fluency.
  • Drive process improvements. Spot recurring pain in the team's workflow and propose changes, not just complaints.
  • Push the AI-native bar. Build internal tooling, prompt patterns, and agentic workflows that make the whole team faster, not just yourself.
  • Be a reliable code reviewer on PRs across the team, including outside your immediate project area.
  • Operate cleanly on-call. Know your services in production; lead incident response when needed and write the postmortem.

REQUIREMENTS
  • 5+ years building production software, with a track record of leading non-trivial projects to completion.
  • Demonstrated ability to make sound architectural decisions and explain tradeoffs clearly in writing.
  • Strong technical depth in at least one of: backend systems, API design, distributed services, web frontend, or mobile.
  • Mentorship experience and a track record of helping teammates grow.
  • Fluent, deliberate use of AI tooling across the full engineering lifecycle (design, code, test, debug, review, docs).

PREFERRED QUALIFICATIONS
  • Experience leading projects in marketplace, ticketing, e-commerce, or two-sided platform environments.
  • Comfort with Datadog, Grafana, Kibana, Airbrake, Sentry, OpsGenie, or comparable production tooling.
  • Built or contributed to internal LLM-powered tools, agent workflows, or RAG systems.
WHY VICTORY LIVE
  • You'll build the infrastructure live events run on; millions of tickets, hundreds of venues, many of the largest teams and events in the world.
  • A lean team where decisions move fast and your code reaches real fans, often the same week.
  • Every release has stakes. Every improvement is felt.
  • High expectations, low tolerance for politics, and a culture built on writing well and shipping with care.

ENGINEERING PRINCIPLES
We are a remote-first, AI-native engineering team. Here is what that looks like in practice:
  • AI-assisted engineering. Every engineer uses Claude, Claude Code, Copilot, and agentic tooling as a routine part of their workflow.
  • Remote-ready, async-first. Most decisions happen in writing through Jira, Confluence, PR descriptions, design docs. We over-communicate on changes and under-communicate on noise.
  • Ownership mindset. Engineers are responsible for what they write and no code reaches production without review. Reviewers are co-owners.
  • Observability is part of "done." If the on-call engineer can't understand a system without reading source, more logging, metrics, and dashboards are needed.
  • Preservation of quality of code and life. We write code that is clean, tested, and maintainable so it serves us well over time, and we build sustainable processes so no one burns out or becomes a single point of failure.
  • Shared knowledge and continued education. We grow as a team by learning from each other through reviews, documentation, and collaboration.
OUR STACK & WAYS OF WORKING
  • VL1 (our core platform), B2B marketplace, distribution integrations, partner-facing APIs
  • Web & mobile clients, REST APIs, microservices
  • Languages: Ruby, Python, Typescript, C-Sharp
  • Frameworks and Technologies: Rails, FastAPI, .NET, Postgres, DynamoDB, MSSQL Server, Docker, Terraform
  • Cloud Providers: AWS, Azure
  • Data: Snowflake, dbt, Dagster, AWS, Azure Data Factory, Sigma, Airflow
  • AI tooling: Anthropic / Claude Code, GitHub Copilot, in-house agentic workflows
  • Observability: Datadog, Grafana, Elastic/Kibana, OpsGenie
  • Collaboration: Jira, Confluence, GitHub, Slack, Miro
  • Async-first, agile cadences, distributed onshore + offshore teams

Victory Live is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law.