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Remote Machine Learning Trainer Jobs in Louisiana

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Strong foundations in modern machine learning, including deep learning, optimization ...

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Strong foundations in modern machine learning, including deep learning, optimization ...

New

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Strong foundations in modern machine learning, including deep learning, optimization ...

New

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Strong foundations in modern machine learning, including deep learning, optimization ...

New

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Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Strong foundations in modern machine learning, including deep learning, optimization ...

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Soma Global, Inc.

Software Trainer

Baton Rouge, LA · Remote

Remote Travel: Up to 50% YOUR IMPACT Our Software Trainer will provide assistance for multiple law ... and learning from experience. * Flexibility/Innovation: Initiate new ideas, exhibit creative ...

CSAA

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... Training Plans, etc.). CSAA Insurance Group is an equal opportunity employer. . The national ...

Altera

Knowledge of talent development, compliance training, onboarding, and employee growth programs is ... Arizona, United States (Remote), Austin, Texas, United States (Remote), Georgia, United States ...

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Remote Machine Learning Trainer information

Can I work remotely as a remote machine learning trainer?

Yes, remote machine learning trainers can work from anywhere with a stable internet connection, as the role primarily involves online instruction, content creation, and virtual coaching. Many employers and training platforms offer remote positions that may require familiarity with tools like video conferencing software and machine learning frameworks. Flexibility in schedule and self-motivation are often important for success in remote training roles.

What are popular job titles related to Remote Machine Learning Trainer jobs in Louisiana?

For Remote Machine Learning Trainer jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Trainer jobs in Louisiana look for?

The top searched job categories for Remote Machine Learning Trainer jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Machine Learning Trainer jobs?

Cities in Louisiana with the most Remote Machine Learning Trainer job openings:

Remote Machine Learning Trainer jobs near you
Infographic showing various Remote Machine Learning Trainer job openings in Louisiana as of August 2026, with employment types broken down into 3% Internship, 51% Full Time, 28% Part Time, and 18% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lake Charles, LA • Remote

Full-time

Re-posted 14 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