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Generative Ai Prompt Writing Jobs (NOW HIRING)

... AI, generative AI experiences, prompt engineering, and intelligent automation solutions across ... written and verbal communication skills with experience collaborating across technical and non ...

AI Prompt Engineer

Ashburn, VA · On-site

$66.70 - $133.30/hr

Prompt Design & Optimization ... Develop, refine, and iterate on prompts for various generative AI models (LLMs) to elicit desired ...

... models and other generative AI systems. The role involves collaborating with data scientists ... write clear, concise, and context-aware prompts. • Familiarity with Python and APIs for ...

Stay current with developments in Generative AI and LLMs. * Evaluate new prompting techniques and ... Excellent written communication and language analysis skills. * Strong analytical and ...

New

... AI Prompt Engineer to design, develop, and optimize enterprise-grade AI solutions. The role ... Generative AI across various functions, ensuring compliance and security in banking and financial ...

... generative AI to automate consumer debt collection, a $35B market in the US alone. Its AI agents ... Strong prompt-writing instincts and the ability to design resilient conversational flows for real ...

Knowledge of Generative AI, prompt engineering, data governance, and enterprise security practices. Key Responsibilities * Lead the architecture, development, and implementation of AI-driven ...

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How much do generative ai prompt writing jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for generative ai prompt writing in the United States is $45.78, according to ZipRecruiter salary data. Most workers in this role earn between $31.73 and $61.30 per hour, depending on experience, location, and employer.

What is generative AI prompt writing?

Generative AI prompt writing involves crafting effective instructions or queries, known as prompts, to guide artificial intelligence models like ChatGPT or DALL-E in producing desired outputs. Prompt writers must understand how these models interpret language and structure their prompts to achieve specific results, whether that's generating text, images, or other creative content. This role requires creativity, technical understanding, and iterative testing to refine prompts for optimal performance. Effective prompt writing can significantly enhance the quality and relevance of AI-generated content.

What are some common challenges faced by generative AI prompt writers in ensuring high-quality outputs?

Generative AI Prompt Writers often encounter challenges such as crafting prompts that yield accurate, relevant, and unbiased responses from AI systems. Balancing creativity with clarity is key, as overly vague or complex prompts can lead to inconsistent outputs. Additionally, prompt writers must stay updated with evolving AI model behaviors and regularly experiment to refine their techniques, ensuring outputs meet project goals and ethical standards. Collaboration with developers, product teams, and subject matter experts is also crucial to continuously improve prompt effectiveness.

What are the key skills and qualifications needed to thrive as a generative AI prompt writer, and why are they important?

To thrive as a Generative AI Prompt Writer, you need strong skills in creative writing, critical thinking, and a solid understanding of AI language models, often supported by experience in content creation or computational linguistics. Familiarity with AI platforms such as OpenAI's GPT, prompt engineering tools, and basic programming or scripting knowledge are typically required. Exceptional communication, attention to detail, and adaptability help individuals craft effective prompts and collaborate with interdisciplinary teams. These skills ensure prompts are clear, relevant, and optimized for desired AI outputs, directly impacting the effectiveness and reliability of AI-generated content.
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Infographic showing various Generative Ai Prompt Writing job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $95,225 per year, or $45.8 per hour.

AI Prompt Engineer - Minneapolis, Mn

Minneapolis, MN • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


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.