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Remote Prompt Engineering Jobs in Chantilly, VA (NOW HIRING)

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.

QA Test Engineer

Bethesda, MD · Remote

$44.25 - $60.25/hr

Hands-on experience with AI dev tools and a feel for prompt engineering, evals, and agent workflows ... Remote role with room to grow into automation, tooling, and AI-engineering work-not a pure manual-Q ...

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... prompt engineering or agentic AI architectures * Expert in Python and proficient with relevant ...

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... prompt engineering or agentic AI architectures * Expert in Python and proficient with relevant ...

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and ...

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and ...

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... Advanced prompt-engineering experience for complex reasoning, extraction, orchestration, and ...

Design and optimize end-to-end AI workflows, including prompt engineering, model evaluation, fine ... Flexible to work remote with the ability to commute to the corporate office as needed Must have ...

GenAI Developer

Leesburg, VA · On-site +1

$115K - $165K/yr

... prompt engineering techniques. * Exposure to or basic practical experience with relevant GenAI ... Experience working in a geographically dispersed, remote team. * Understanding of Data Science ...

GenAI Developer

Leesburg, VA · Remote

$115K - $165K/yr

... prompt engineering techniques. * Exposure to or basic practical experience with relevant GenAI ... Experience working in a geographically dispersed, remote team. * Understanding of Data Science ...

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks, including ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Showing results 21-40

Remote Prompt Engineering information

See Chantilly, VA salary details

$17

$33

$48

How much do remote prompt engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote prompt engineering in Chantilly, VA is $33.84, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $39.13 per hour, depending on experience, location, and employer.

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?

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.

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.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.
What are popular job titles related to Remote Prompt Engineering jobs in Chantilly, VA? For Remote Prompt Engineering jobs in Chantilly, VA, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Chantilly, VA look for? The top searched job categories for Remote Prompt Engineering jobs in Chantilly, VA are:
What cities near Chantilly, VA are hiring for Remote Prompt Engineering jobs? Cities near Chantilly, VA with the most Remote Prompt Engineering job openings:

AI/ML Solutions Architect

System One

Mclean, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

Job Title: AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal.dinnocenti@systemone.com RESPONSIBILITIES

  • Design and implement agentic AI systems that enable autonomous decision-making, workflow orchestration, and mission process optimization—with appropriate guardrails and human oversight.
  • Develop Generative AI applications for summarization, extraction, predictive insights, and conversational interfaces.
  • Build and maintain scalable data pipelines integrating structured and unstructured data to support analytics and AI workloads.
  • Apply advanced statistical and machine learning techniques to decision support and policy/program evaluation.
  • Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking strategies, and retrieval quality optimization.
  • Perform prompt engineering, safety patterns, and defensive design.
  • Integrate knowledge graphs and develop graph-enhanced retrieval solutions.
  • Create and fine-tune embeddings and LLMs to enhance domain performance, accuracy, and robustness.
  • Develop entity graphs using entity resolution techniques to enable graph analytics and improved retrieval.
  • Collaborate across engineering, security, and stakeholder teams to prototype rapidly, iterate responsibly, and deliver mission-ready outcomes.
  • Lead deployment in AWS cloud environments utilizing Infrastructure-as-Code, DevOps/DevSecOps, and operational excellence practices.
  • Own and drive the technical foundation and delivery process for mission AI solutions, including system architecture, tooling, engineering and delivery standards, and hands-on technical leadership.
REQUIREMENTS
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
  • Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems.
  • Strong Python proficiency and strong SQL skills (data modeling, query optimization).
  • Experience designing and delivering cloud-based AI/ML solutions end-to-end (ingestion, modeling, deployment, monitoring) in secure environments.
  • Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar.
  • Strong knowledge of core Python ML/data libraries: NumPy, Pandas, Scikit-learn, NLTK, OpenCV.
  • Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with search technologies such as Elasticsearch or OpenSearch.
  • Experience with relational databases (PostgreSQL, Oracle) and in-memory analytics engines (DuckDB).
  • Experience using cloud SDKs (e.g., Boto3) and building reliable integrations with cloud services.
  • Familiarity with agentic AI frameworks such as AWS Strands Agents, PydanticAI, and related orchestration patterns.
  • Advanced prompt engineering skills for complex reasoning workflows beyond code generation.
  • Experience with asynchronous Python development (asyncio, concurrency, reliability).
  • Experience with MCP servers and tool-calling within agentic workflows (tool governance, security considerations).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. #M1 #LI-CD1

Ref: #851-Rockville-S1