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Remote Rn Field Case Manager Jobs in Beaumont, TX

Pentair

Sales & BD Manager Biogas & CO2

Beaumont, TX · On-site +1

$118K - $219K/yr

This role is remote when not traveling and will support the entire United States of America. Travel ... field. * Master's degree (MBA or technical discipline) preferred . * Willingness to travel ...

Concentra

Referral Coordinator - Remote Texas

Beaumont, TX · On-site +1

$17.25 - $22.50/hr

The Referral Management Coordinator processes referrals requests and authorizations while working ... First point of escalation for all case related issues requiring guidance * Responsible for daily ...

TeleSpecialists LLC

Advanced Practice Provider

Beaumont, TX · Remote

$89K - $122K/yr

The Advanced Practice Provider (Nurse Practitioner or Physician Assistant) supports the delivery of ... Working closely with both on-site and remote providers, the APP serves as an integral member of the ...

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All JobsRn Field Case JobsRemote Rn Field Case Manager JobsRemote Rn Field Case Manager Jobs in Beaumont, TX

Remote Rn Field Case Manager information

See Beaumont, TX salary details

$60.8K

$82.4K

$100.6K

How much do remote rn field case manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote rn field case manager in Beaumont, TX is $82,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $91,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rn Field Case Manager vs Remote Rn Utilization Review Nurse?

AspectRemote Rn Field Case ManagerRemote Rn Utilization Review Nurse
CertificationsRN license, case management certification often preferredRN license, certification in utilization review or case management beneficial
Work EnvironmentField-based, visiting patients and providers remotelyOffice-based, reviewing cases and medical records remotely
Employer & Industry UsageInsurance companies, workers' comp, healthcare providersInsurance companies, managed care organizations, healthcare payers
Common Search & ComparisonRemote Rn Field Case Manager vs Remote Rn Utilization Review Nurse

The Remote Rn Field Case Manager primarily conducts patient visits and manages cases in the field, while the Remote Rn Utilization Review Nurse focuses on reviewing medical necessity and appropriateness of care remotely. Both roles require RN licensure and related certifications, but differ in work environment and daily responsibilities.

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For Remote Rn Field Case Manager jobs in Beaumont, TX, the most frequently searched job titles are:

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Remote Rn Field Case Manager jobs near you

Generative AI Automation Engineer - Remote Job

Beaumont, TX • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply