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Remote Nvidia Deep Learning Jobs in Florida (NOW HIRING)

... remote setting. As an expert you will be creating Reinforcement Learning Environments which test ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

... remote setting. As an expert you will be creating Reinforcement Learning Environments which test ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

... remote setting. As an expert you will be creating Reinforcement Learning Environments which test ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

... remote setting. As an expert you will be creating Reinforcement Learning Environments which test ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

... remote setting. As an expert you will be creating Reinforcement Learning Environments which test ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

... remote setting. As an expert you will be creating Reinforcement Learning Environments which test ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What job categories do people searching Remote Nvidia Deep Learning jobs in Florida look for? The top searched job categories for Remote Nvidia Deep Learning jobs in Florida are:
What cities in Florida are hiring for Remote Nvidia Deep Learning jobs? Cities in Florida with the most Remote Nvidia Deep Learning job openings:
Software Engineer - AI Coding Expert

Software Engineer - AI Coding Expert

micro1 AI

Miami, FL • Remote

$100 - $230/hr

Part-time

Posted 22 days ago


Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: 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.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.