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Remote Prompt Engineer Jobs in Gretna, LA (NOW HIRING)

Remote Prompt Engineer information

See Gretna, LA salary details

$11

$48

$69

How much do remote prompt engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote prompt engineer in Gretna, LA is $48.31, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $64.28 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

What cities near Gretna, LA are hiring for Remote Prompt Engineer jobs?

Cities near Gretna, LA with the most Remote Prompt Engineer job openings:

Infographic showing various Remote Prompt Engineer job openings in Gretna, LA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $100,489 per year, or $48.3 per hour.

AI & Automation Solutions Specialist

RESTECH INFORMATION SERVICES

Metairie, LA • Remote

Full-time

Re-posted 15 days ago


Job description

Description

Position Summary

We are seeking an AI & Automation Solutions Specialist who can design, build, and implement scalable systems across the galaxy. This is a technical and client-facing role for someone who can navigate business processes like a pilot through an asteroid field. You will identify automation opportunities, educate clients on AI adoption, and turn business needs into practical technology solutions-ensuring our clients never feel like they are stuck in a "Kobayashi Maru" no-win scenario.

The ideal candidate is comfortable working with AI assistants, workflow platforms, and APIs. We need someone who can guide clients from discovery to implementation, ensuring their AI journey doesn't end up like a thermal exhaust port oversight.

Key Responsibilities

Client-Facing AI & Automation Consulting

  • Meet with clients to understand workflows and pain points; essentially, perform a Vulcan Mind Meld to translate business      requirements into technical solution designs.
  • Educate clients on AI use cases in clear, business-friendly language-no need for Binary or Klingon here.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Conversational AI & Persona Engineering

  • Design and implement AI assistants and voice solutions. You aren't just building a droid; you're building a personality.
  • Build AI personas that align with brand tone and service expectations. Whether the client needs a protocol droid or a      Starfleet computer, you'll set the behavior guidelines.
  • Configure phone-based AI systems with reliable branching logic to ensure callers never feel like they're trapped in a tractor beam.

Automation Architecture & Workflow Design

  • Design and manage workflows that connect business systems and reduce manual effort.
  • Build scalable automations that can be monitored and improved over time-think "Engage" rather than "Wait."
  • Design error handling and escalation paths so that a single glitch doesn't lead to a total systems failure.

Endpoint Automation & Systems Management

  • Build automation within endpoint management environments to reduce technician workload.
  • Design automated monitoring and remediation workflows; your goal is to make the systems as self-sustaining as a Federation starship.
  • Create scripts and task sequences to automate local and remote actions.

Systems Integration & API Management

  • Design and document integrations between third-party and proprietary systems using APIs, webhooks, and payloads.
  • Configure secure connections using modern authentication.
  • Troubleshoot integration failures and data synchronization problems with the precision of a targeting computer.

Data Reliability, Testing & Documentation

  • Maintain data accuracy across platforms.
  • Test AI and automation solutions before deployment; we refer to find the "thermal exhaust port" before the client does.
  • Create technical documentation and reusable automation templates.

Requirements

Required Skills & Experience

  • Experience designing and building automation workflows.
  • Ability to work directly with clients in discovery and implementation settings.
  • Understanding of AI assistants, LLMs, and prompt engineering.
  • Scripting experience in one or more common languages.
  • Strong documentation skills; your reports should be as clear as a Captain's Log.
  • Ability to explain technical solutions in simple language.

Preferred Technical Competencies

  • AI assistant and Voice AI architecture.
  • Prompt engineering and AI persona development.
  • Endpoint automation and systems management.
  • API development and secure authentication.
  • Process improvement and technical documentation.

Platform Experience Preferred

  • Endpoint management and remote automation platforms.
  • Workflow automation and middleware.
  • Voice AI and conversational AI platforms.
  • CRM, PSA, and ticketing systems.
  • API testing and development tools.

Ideal Candidate Profile

The ideal candidate is a builder, a problem-solver, and a client educator. They understand how businesses operate and can identify where AI creates measurable value.

This person should be able to sit with a client, map a manual process, and build a solution that works. You should be comfortable in fast-moving environments where technology evolves at warp speed.

Success in This Role Looks Like

  • Clients understand how AI and automation can improve their business.
  • Manual processes are converted into reliable, documented workflows.
  • AI assistants and voice solutions are deployed with clear business value.
  • Internal teams have clear documentation and repeatable standards.
  • Client systems communicate securely and reliably, keeping the peace across the digital frontier.