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Remote Embedded Machine Learning Jobs in Louisiana

micro1 AI

AI Trainer - Microbiology Expert

Lafayette, LA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

The Mutual Group

Senior Predictive Modeler

Iowa, LA · On-site +1

$120K - $200K/yr

... machine learning, and actuarial techniques, including but not limited to GLMs, GBMs, random forests ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Guidehealth

RN Case Manager - Remote

Slidell, LA · Remote

... embedded Healthguides™ and a centralized Managed Service Organization to build stronger ... We encourage cross-training, ongoing development, and a commitment to learning across all areas of ...

Guidehealth

RN Case Manager - Remote

Slidell, LA · On-site +1

$80K - $83K/yr

... embedded Healthguides™ and a centralized Managed Service Organization to build stronger ... We encourage cross-training, ongoing development, and a commitment to learning across all areas of ...

Guidehealth

RN Case Manager - Remote

Slidell, LA · Remote

$80K - $83K/yr

... remotely-embedded Healthguides and a centralized Managed Service Organization to build stronger ... We encourage cross-training, ongoing development, and a commitment to learning across all areas of ...

The Mutual Group

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Genesys

Remote Summary of Position: The Technical Account Manager (TAM) is responsible for delivering ... disciplines, aka AI/Machine Learning, Network/OS administration, programming, Database ...

New

GDIT

AI Data Scientist

Bossier City, LA · On-site +1

... PDFs, embedded images) for search or RAG use. * Proven ability to build AIpowered analytics ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Louisiana

Remote Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Louisiana? The most popular types of Embedded Machine Learning jobs in Louisiana are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Louisiana? For Remote Embedded Machine Learning jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Louisiana look for? The top searched job categories for Remote Embedded Machine Learning jobs in Louisiana are:
What cities in Louisiana are hiring for Remote Embedded Machine Learning jobs? Cities in Louisiana with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Shreveport, LA • Remote

$70 - $90/hr

Part-time

Posted 8 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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