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Remote Prompt Engineering Jobs in Washington (NOW HIRING)

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AI Foundry Engineer (US - Remote) Position summary We are seeking a highly skilled AI Foundry ... prompt engineering § Knowledge about emerging standards for AI agent ecosystem § SME / Power user ...

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

AI Engineer

Rockville, MD · Remote

$140K/yr

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

Develop prompt engineering standards, AI guardrails, evaluation frameworks, and Responsible AI ... Remote or hybrid work environment based on program requirements. Clearance Requirements * Ability ...

This role is for a senior remote full-stack developer who is comfortable making technical decisions ... Familiarity with RAG, prompt engineering, or agentic workflows * Docker, Terraform, GitHub Actions

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 ...

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Perform prompt engineering, safety patterns, and defensive design. * Integrate knowledge graphs and ...

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Perform prompt engineering, safety patterns, and defensive design. * Integrate knowledge graphs and ...

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Perform prompt engineering, safety patterns, and defensive design. * Integrate knowledge graphs and ...

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Perform prompt engineering, safety patterns, and defensive design. * Integrate knowledge graphs and ...

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

... in Jupyter or prompt-engineering tools. * Communicates clearly in English and at least one ... Fully remote (U.S.-based) with flexible hours. * Comprehensive health, dental, and vision.

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Perform prompt engineering, safety patterns, and defensive design. * Integrate knowledge graphs and ...

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Perform prompt engineering, safety patterns, and defensive design. * Integrate knowledge graphs and ...

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Remote Prompt Engineering information

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$19

$37

$54

How much do remote prompt engineering jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote prompt engineering in Washington is $37.44, according to ZipRecruiter salary data. Most workers in this role earn between $29.95 and $43.27 per hour, depending on experience, location, and employer.

How to make $1000 a week remotely?

Remote prompt engineering can generate $1000 or more weekly by freelancing on platforms like Upwork or Fiverr, building a strong portfolio, and offering specialized skills in AI and NLP. Consistent work, high-demand projects, and efficient time management are key to reaching this income level.

What engineer makes $500,000 a year?

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 working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

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 professionals skilled in designing effective prompts for AI language models. Demand for prompt engineers is increasing across industries such as technology, healthcare, and finance, often requiring knowledge of AI tools and natural language processing. The role is expected to remain relevant as AI adoption expands.

What jobs make $3,000 a day?

High-paying jobs such as remote prompt engineering, specialized consulting, or executive roles can earn $3,000 or more per day, especially for professionals with advanced skills, experience, and in-demand expertise. These roles often require strong technical knowledge, certifications, and the ability to deliver high-value services on a freelance or contract basis.

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 Washington? The most popular types of Prompt Engineering jobs in Washington are:
What are popular job titles related to Remote Prompt Engineering jobs in Washington? For Remote Prompt Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Washington look for? The top searched job categories for Remote Prompt Engineering jobs in Washington are:
What cities in Washington are hiring for Remote Prompt Engineering jobs? Cities in Washington with the most Remote Prompt Engineering job openings:
Infographic showing various Remote Prompt Engineering job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $77,878 per year, or $37.4 per hour.
AI Foundry Engineer (Remote)

AI Foundry Engineer (Remote)

Goldman Edwards, Inc.

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

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Job description

AI Foundry Engineer (US - Remote)


Position summary

We are seeking a highly skilled AI Foundry Engineer with a strong ability to translate complex business requirements into actionable prompts that effectively guide AI foundry platforms across ecosystems supporting mission-critical federal technology initiatives. Reporting to the Sr. Architect, the AI Foundry Engineer will ....


What will you do in this role?

§ Understand and translate business requirements and problem statements into a set of prompts that direct AI foundry platforms and ecosystems to generate full stack, AI and agent-based systems

§ Assess the generated systems code to discover design gaps and inefficiencies, standard and coding style issues. Identify and implement fixes in the design and code as necessary

§ Test, verify, and deploy the end-to-end system / application


What do you need to succeed in this role?

§ 20+ years of overall software, distributed systems, and cloud native system development experience

§ Coding standards (Google JavaScript / JSON style guide, PEP 8 style guide)

§ Design patterns (GOF, Others)

§ Architecture frameworks

§ 2-3+ years of developing and integrating AI, Gen AI, and agentic AI algorithms, models, frameworks, and prompt engineering

§ Knowledge about emerging standards for AI agent ecosystem

§ SME / Power user for at least one Gen AI system (Gemini, ChatGPT, Claude, CoPilot)

§ Prompt engineering - translating business / user requirements into prompts

§ 5-7+ years of in-depth, hands-on experience with one or more web application frameworks and programming languages

§ Angular, React, Python, NodeJS, Rust

§ Minimum of 5 years in-depth, hands-on experience with one or more cloud tech stacks, including virtual network architecture, design, implementation and management

§ AWS / Google (preferred)

§ AZURE / Oracle

§ Minimum of one-year in-depth, hands-on experience with one or more QA frameworks and test automation platforms

§ Experience in testing AI and LLM’s using tools to evaluate accuracy, bias, and reliability of AI tools and systems

§ Hands-on experience in using tools such as Brainstrust and Galileo


In addition, specific skills/experience required are as follows:

§ Values driven – You embody and model absolute integrity and servant leadership and you have a bias for action and continuous innovation.

§ Uncompromising problem solver – You see opportunities in every business challenge and can develop, articulate and implement solutions.

§ Collaboration – You are a relationship builder across all levels of the organization and across all business units.


Company Description

Goldman Edwards is a leader in the application of systems engineering across a wide array of large-scale system development and mission critical programs used by government and industry. We provide world-class talent, proven management, and technical processes to manage the most complex projects—from concept through deployment.