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Freelance Retrieval Augmented Generation Jobs in Rosenberg, TX

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

Jobtailor

AI Solutions Architect

Houston, TX · On-site

$120 - $180/hr

Practical experience with Generative AI and Retrieval-Augmented Generation, or RAG * Strong technical background with C#, .NET, React.js, and Node.js * Experience with cloud infrastructure ...

Slalom Consulting

General Information

Houston, TX · On-site

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI. * Familiarity with GraphRAG and LLM-as-a-judge architectures. * Predictive Analytics: * Expertise in ...

Elara Caring

AI Automation Engineer II

Houston, TX · On-site

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...

Elara Caring

AI Automation Engineer II

Houston, TX · On-site

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...

Deloitte

Oracle Gen AI Manager

Houston, TX

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

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Freelance Retrieval Augmented Generation information

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How much do freelance retrieval augmented generation jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for freelance retrieval augmented generation in Rosenberg, TX is $20.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $16.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a freelance retrieval augmented generation specialist?

To thrive as a Freelance Retrieval Augmented Generation (RAG) Specialist, you need expertise in natural language processing, information retrieval, and machine learning, typically supported by a degree in computer science or related fields. Proficiency with frameworks like Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone), and cloud platforms is often required. Strong problem-solving, effective communication, and adaptability set standout professionals apart in this role. These skills ensure the development and fine-tuning of high-performance RAG systems that deliver accurate, contextually relevant results for clients.

What is a freelance retrieval augmented generation specialist?

A Freelance Retrieval Augmented Generation (RAG) specialist is an independent professional who designs, develops, and implements AI systems that combine retrieval-based methods with generative models. RAG specialists help organizations enhance their applications by integrating large language models (LLMs) with external data sources, allowing the AI to access and utilize up-to-date information beyond its training data. Their work involves tasks such as building pipelines for document indexing and retrieval, fine-tuning models, and optimizing the integration for accuracy and efficiency. Freelance RAG specialists typically work on a contract basis, offering flexibility and expertise for businesses that need advanced AI solutions.

How does a freelance retrieval augmented generation specialist typically collaborate with client teams during a project?

Freelance Retrieval Augmented Generation (RAG) specialists often work closely with client data scientists, engineers, and project managers to understand business requirements and integrate RAG systems into existing workflows. Communication is usually handled through regular virtual meetings, shared documentation, and sometimes real-time collaboration tools. Freelancers are expected to deliver modular, well-documented solutions and provide guidance on optimizing retrieval pipelines or fine-tuning models. This collaborative dynamic ensures that RAG implementations are aligned with client goals and technical standards, while also allowing freelancers to contribute innovative solutions based on their expertise.
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Freelance Retrieval Augmented Generation jobs near you

Gen AI/ML Solution Architect

Marencor

Houston, TX • On-site

$60.25 - $79.25/hr

Contractor

Re-posted 3 days ago

Job description

Position: Gen AI/ML Solution Architect

Location: Houston, TX - (5 days onsite per week)
 

Notes:

  • Minimum 2-3 Project on GEN AI LLM Architect
  • Machine Learning with MLOps
  • Convert business problems to solutions

Job Summary:
We are seeking an experienced Gen AI/ML Solution Architect to lead the design, development, and deployment of advanced AI-driven solutions. The ideal candidate will have over a decade of expertise in AI, machine learning, data mining, NLP, and predictive analytics, with proven success in architecting large-scale data science solutions and delivering business impact.

 

Key Responsibilities:

  • Lead end-to-end Gen AI/ML solution architecture — from problem definition, data acquisition, and feature engineering to model deployment and monitoring.
  • Collaborate with business stakeholders to define requirements and translate them into scalable AI/ML solutions.
  • Design and implement advanced NLP systems using state-of-the-art models (BERT, ELMO, word2vec) for tasks such as sentiment analysis, named entity recognition, and topic modeling.
  • Build and integrate predictive models, leveraging cloud-based platforms such as Azure Machine Learning for forecasting and analytics.
  • Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems.
  • Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel).
  • Ensure solutions are optimized for performance, scalability, and maintainability in production environments.
  • Mentor and guide teams on AI/ML best practices, frameworks, and emerging technologies.

 

Required Qualifications:

  • Bachelor’s in Engineering or Computer Science and a Master’s in Information Technology, Telecommunications, or a related field.
  • 14+ years of professional experience in AI, data mining, deep learning, predictive analytics, and machine learning.
  • Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization.
  • Proficiency in Python and R, with expertise in AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Transformers, and visualization tools (Matplotlib, Seaborn, ggplot2).
  • Strong knowledge of NLP techniques and frameworks, vector databases, and MLOps workflows.
  • Experience with cloud-based AI platforms (Azure ML, AWS Sagemaker, or GCP AI Platform).
  • Solid understanding of cognitive AI systems, intelligent automation, and decision-support systems.

 

Preferred Skills:

  • Experience with Retrieval-Augmented Generation (RAG) pipelines and Semantic Kernel integration.
  • Expertise in deploying AI solutions at enterprise scale with robust API integrations.
  • Strong communication and leadership skills for cross-functional collaboration.