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Remote Prompt Engineer Jobs in Virginia (NOW HIRING)

ManTech

Data and AI Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Quora

AI Automation Engineer -Remote

Hampton, VA · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Norfolk, VA · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Quora

AI Automation Engineer -Remote

Chesapeake, VA · On-site +1

$202K - $234K/yr

Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

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All JobsRemote Prompt Engineer JobsRemote Prompt Engineer Jobs in Virginia

Remote Prompt Engineer information

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$12

$55

$80

How much do remote prompt engineer jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for remote prompt engineer in Virginia is $55.51, according to ZipRecruiter salary data. Most workers in this role earn between $39.81 and $73.89 per hour, depending on experience, location, and employer.

What is a Remote Prompt Engineer job?

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 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.

What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, which offer compensation in that range. These positions often require advanced skills in AI development, leadership experience, and may involve overseeing large teams or strategic AI initiatives.

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 location. Entry-level positions may start lower, while experienced professionals with expertise in AI and natural language processing can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

Are prompt engineers still in demand?

Prompt engineers are increasingly in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role requires expertise in natural language processing, machine learning, and familiarity with AI tools, making it a valuable skill set in the growing AI industry.

How can I make $100,000 a year working from home?

A remote prompt engineer can earn $100,000 annually by developing high-quality prompts for AI models, gaining expertise in natural language processing, and building a strong portfolio. Increasing income may involve acquiring specialized skills, certifications, and working with multiple clients or companies on a freelance or full-time basis. Consistent performance and staying updated with AI advancements are key to reaching this income level.
What are the most commonly searched types of Prompt Engineer jobs in Virginia? The most popular types of Prompt Engineer jobs in Virginia are:
What are popular job titles related to Remote Prompt Engineer jobs in Virginia? For Remote Prompt Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineer jobs in Virginia look for? The top searched job categories for Remote Prompt Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Prompt Engineer jobs? Cities in Virginia with the most Remote Prompt Engineer job openings:
Remote Prompt Engineer jobs near you
Infographic showing various Remote Prompt Engineer job openings in Virginia as of June 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,464 per year, or $55.5 per hour.
Trust & Safety Engineer (GenAI) - Remote

Trust & Safety Engineer (GenAI) - Remote

micro1 AI

Virginia Beach, VA • Remote

$50 - $90/hr

Part-time

Posted 6 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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