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Remote Rag Jobs in Oxon Hill, MD (NOW HIRING)

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

Danaher

Sr. AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

This position is remote in Eastern US. In this role, you will have the opportunity to ... RAG approaches, agentic frameworks, robotics. * Proven track record of successful end-to-end ...

Pantheon Data

Senior Cloud Engineer

Reston, VA · Remote

$100K - $150K/yr

Familiarity with managing LLM infrastructure and RAG pipelines.Infrastructure as Code: Terraform skills, including module development and remote state management in a cross-account environment.

New

RevStar

Account Executive

Arlington, VA · Remote

At RevStar, we foster a collaborative, remote-first culture where teams freely share ideas ... Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ...

RevStar

Account Executive

Arlington, VA · On-site +1

At RevStar, we foster a collaborative, remote-first culture where teams freely share ideas ... Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ...

System One

Be Seen First

AI/ML Solutions Architect

Mclean, VA · Remote

$130K - $216K/yr

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust clearance ... Augmented Generation (RAG) and evaluation, Re-ranking strategies, and retrieval quality ...

RevStar

Account Executive

Arlington, VA · Remote

At RevStar, we foster a collaborative, remote-first culture where teams freely share ideas ... Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking ...

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Experience with retrieval-augmented generation (RAG), AI agent frameworks, and context ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

System One

AI/ML Solutions Architect

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be able to obtain a Federal or DoD Public Trust Contact: Crystal ... Lead AI initiatives spanning Retrieval-Augmented Generation (RAG) and evaluation, Re-ranking ...

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How much do remote rag jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote rag in Oxon Hill, MD is $21.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.17 per hour, depending on experience, location, and employer.

What is a Remote RAG?

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 the key skills and qualifications needed to thrive as a Remote RAG?

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

What are some common challenges faced by professionals working in a remote RAG 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 Oxon Hill, MD are hiring for Remote Rag jobs?

Cities near Oxon Hill, MD with the most Remote Rag job openings:

Remote Rag jobs near you

Senior Data Scientist

Team Velocity

Herndon, VA • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics, and AI-driven solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver production-ready AI solutions.
This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.
Key Responsibilities
  • Design, build, train, evaluate, and deploy machine learning models.
  • Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis.
  • Build feature engineering and model training pipelines.
  • Deploy and monitor production ML models, including model drift detection and retraining.
  • Collaborate with Product, Engineering, Analytics, and executive leadership.
  • Mentor junior data scientists and establish best practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field, Master's or PhD preferred
  • 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact
  • Strong communication and business problem-solving skills

Technical Skills
  • Expert Python and SQL
  • Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
  • Snowflake, Matillion, dbt, Pandas, Spark, Airflow
  • Cloud: Google Cloud (preferred), AWS, or Azure
  • MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD
  • Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks
  • LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases

Preferred Experience
  • Large-scale customer data platforms
  • Marketing analytics and personalization
  • Automotive or SaaS industry experience
  • Real-time inference and streaming platforms

Success Metrics
  • Deliver production-ready ML models with measurable business impact
  • Improve prediction accuracy and operational efficiency
  • Implement model monitoring and retraining
  • Mentor team members and establish Data Science best practices
  • Contribute to team capability growth through documentation, code review standards, and mentorship outcomes that raise the overall quality of the Data Science function

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $160,000-$190,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.
NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.
About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.
Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.
Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.

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