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Remote Rag Jobs in Accokeek, MD (NOW HIRING)

For People

Solutions Architect, Data and AI

Arlington, VA · Remote

$120K - $150K/yr

Our entire team is remote across the United States, from the West Coast to the East Coast. There ... Prototype LLM-assisted data cataloging, automated data quality, AI searches, agentic workflows, RAG ...

For People

Solutions Architect, Data and AI

Arlington, VA · On-site +1

$120K - $150K/yr

Our entire team is remote across the United States, from the West Coast to the East Coast. There ... Prototype LLM-assisted data cataloging, automated data quality, AI searches, agentic workflows, RAG ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

... RAG), Multi-Modal AI, and modern AI-enabled web applications. This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in Washington D.C. Required Clearance:

Pryon

Solutions Architect

Washington, DC · Remote

$160K - $180K/yr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Remote first organization - 100% Company paid Health/Dental/Vision benefits for you and your ...

Leidos

Software Developer

Reston, VA · On-site +1

Strong knowledge of agentic frameworks, orchestration tools, RAG, vector databases, API design, and ... Flexible to work remote with the ability to commute to the corporate office as needed * Must have ...

Leidos

Software Developer

Reston, VA · On-site +1

Strong knowledge of agentic frameworks, orchestration tools, RAG, vector databases, API design, and ... Flexible to work remote with the ability to commute to the corporate office as needed Must have ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

$63.25 - $84.50/hr

... RAG), Multi-Modal AI, and modern AI-enabled web applications. This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in Washington D.C. Required Clearance:

Consumer Reports

Software Engineer - Product

Washington, DC · On-site +1

$120K - $140K/yr

... Generation (RAG) application. This individual will play a crucial role in building intelligent ... This is a remote position. This position is not eligible for sponsorship or relocation assistance.

New

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site +1

$57.50 - $74/hr

Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi ... TX, plus remote options and flexible working hours. * Competitive Total Rewards - A ...

JLL

Staff Software Engineer - AI Team

Washington, DC · Remote

Today, that is an MCP Gateway and a shared RAG platform. Tomorrow, it will be whatever the AI ... Remote -Washington, DC If this resonates with you, we encourage you to apply, even if you don't ...

Peraton

Al/ML Engineer (SME)

Herndon, VA · On-site +1

$104K - $166K/yr

This position is remote and requires an active Secret clearance. AI/ML Engineer. Responsible for ... PyTorch/TensorFlow/Keras, Hugging Face transformers, LangChain, RAG toolkits, FAISS/Pinecone ...

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How much do remote rag jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for remote rag in Accokeek, MD is $20.96, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $22.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
What cities near Accokeek, MD are hiring for Remote Rag jobs? Cities near Accokeek, MD with the most Remote Rag job openings:
Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Accokeek, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $43,588 per year, or $21 per hour.
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Largo, MD • Remote

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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