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Freelance Ai Prompt Engineer Jobs (NOW HIRING)

Design, test, refine, and document reusable prompts and prompt workflows for approved large language model platforms * Develop and support AI-enabled workflows that improve operational efficiency and ...

New

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD · Remote

$104K - $138K/yr

AI Prompt Engineer Location: Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security Clearance: Must have an active IRS MBI Clearance Overview System One is ...

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

Advanced Prompt Engineering * Structured Data Transformation, transformation rules, requirements etc. * LLM, LLM instructions * Build and Test AI workflows * AI Experience - Perplexity, ChatGPT or ...

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders toidentifyopportunities for AI adoption ...

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

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Freelance Ai Prompt Engineer information

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$132

How much do freelance ai prompt engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for freelance ai prompt engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance AI prompt engineer?

A Freelance AI Prompt Engineer is a professional who specializes in designing, testing, and refining prompts for artificial intelligence models, such as large language models like GPT. They work independently, often on a contract or project basis, to help organizations or individuals improve the performance and accuracy of AI-generated outputs. Their tasks may include prompt writing, prompt optimization, and developing use-case-specific instructions to ensure the AI produces desired results. Freelance AI Prompt Engineers need strong language skills, creativity, and a deep understanding of how AI models interpret and respond to input. This role is increasingly in demand as businesses integrate AI tools across various industries.

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

To thrive as a Freelance AI Prompt Engineer, you need a strong foundation in natural language processing, prompt engineering strategies, and a solid understanding of AI model behavior, often supported by experience or coursework in computer science or AI. Familiarity with tools like OpenAI’s GPT models, prompt testing platforms, and version control systems is typically required. Creative problem-solving, adaptability, and effective client communication are crucial soft skills for delivering tailored AI solutions. These skills ensure high-quality, effective prompts that drive successful AI outcomes and foster client satisfaction in a rapidly evolving field.

How do freelance AI prompt engineers typically manage communication and expectations with clients throughout a project?

Freelance AI Prompt Engineers often work remotely with clients from diverse industries, so clear communication is essential. They usually start projects by thoroughly discussing the client's goals, preferred tone, and intended use of the AI outputs. Throughout the project, regular check-ins, progress updates, and feedback loops are standard practices to ensure both parties are aligned and adjustments can be made quickly. Tools like project management platforms, shared documents, and video meetings help maintain transparency and manage expectations effectively.

What is the difference between Freelance Ai Prompt Engineer vs Freelance Data Scientist?

AspectFreelance Ai Prompt EngineerFreelance Data Scientist
Required SkillsPrompt design, AI model understanding, basic programmingData analysis, statistical skills, programming (Python, R)
Work EnvironmentRemote, project-based, AI and tech-focusedRemote or on-site, data analysis projects, diverse industries
Industry UsageAI development, content creation, chatbot designBusiness analytics, predictive modeling, research

While both roles involve working with data and AI, Freelance Ai Prompt Engineers focus on designing prompts for AI models, whereas Freelance Data Scientists analyze data to derive insights. The roles share skills like programming and remote work but differ in their core tasks and industry applications.

How much do freelance AI prompt engineers get paid?

Freelance AI prompt engineers typically earn between $20 and $100 per hour, depending on experience, project complexity, and client budget. Rates can vary widely, with highly experienced professionals charging higher fees and those new to the field earning less. Many freelancers set project-based fees or retainers based on the scope of work and their expertise with AI tools like GPT models.
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Infographic showing various Freelance Ai Prompt Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

AI Prompt Engineer - Minneapolis, Mn

Minneapolis, MN

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Job Description

A major enterprise security organization is growing its generative AI research efforts and is looking for an AI Prompt Engineer in Minneapolis. The group is exploring how frontier language models can be incorporated into cybersecurity testing and is building technology that uses AI to uncover weaknesses across software, infrastructure, and network environments.

The position sits at the intersection of AI engineering, cybersecurity, and software development. You will be responsible for designing the instructions and supporting logic that allow large language models to conduct meaningful security analysis. Success in this role requires more than prompt-writing ability; you must understand the security problems being investigated well enough to direct an AI model toward useful findings and distinguish meaningful vulnerabilities from noise.

Required Skills & Experience

  • Proven hands-on work with advanced LLM prompting, prompt engineering, or AI workflow development

  • Strong understanding of cybersecurity fundamentals and how vulnerabilities are identified and exploited

  • Knowledge of malware, network ingress/egress, attack vectors, and common infrastructure weaknesses

  • Programming experience with at least one general-purpose development language

  • Ability to develop structured AI workflows that combine prompts, context, logic, and model responses

  • Experience working with relational, search, or cloud-hosted database technologies

  • Familiarity with PostgreSQL, Elastic/Elasticsearch, Cloud SQL, or equivalent platforms

Desired Skills & Experience

  • Familiarity with automated security testing techniques such as SAST and DAST

  • Security assessment or penetration-testing experience

  • Knowledge of cloud infrastructure and cloud security concepts

  • Exposure to Kubernetes-based environments

  • Experience with Google Kubernetes Engine

  • Previous work involving AI red teaming, model testing, or adversarial AI research

What You Will Be Doing

Daily Responsibilities

  • Design prompt architectures that direct AI models through cybersecurity research and testing tasks

  • Build AI harnesses capable of maintaining relevant context throughout complex security investigations

  • Develop test cases that identify software vulnerabilities and infrastructure exposures

  • Use generative AI to support network-perimeter analysis and discovery of open or risky services

  • Create workflows for identifying suspicious certificate usage and other security-control weaknesses

  • Experiment with different frontier models without being tied to a single provider

  • Assess the usefulness and accuracy of model-generated security findings

  • Partner with engineers responsible for capturing and processing the resulting security data

  • Coordinate with cyber threat hunters who investigate and remediate validated findings

The Offer

  • Contract opportunity

  • Competitive hourly compensation

You will receive the following benefits:

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.