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Remote Nvidia Machine Learning Jobs in Magna, UT

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Senior DevOps Engineer (US REMOTE)

West Valley City, UT · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Sr. Software Engineer

Salt Lake City, UT · Remote

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Experience with machine learning or generative AI prompt engineering * Caching/NoSQL datastores ... Remote-friendly policy * Medical/vision/dental insurance * Life, short-term disability, and ...

Transformation Strategy Lead

North Salt Lake, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... another machine learning framework * 3 years of experience developing cloud-hosted applications ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

New

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... another machine learning framework * 3 years of experience developing cloud-hosted applications ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

New

Legal Research - Internship

Salt Lake City, UT · On-site +1

  • Medical

  • Dental

  • Vision

... machine learning systems extract from published legal materials. This role is ideal for law ... Nationwide, current student at any accredited law school in the US, open to in-office or remote ...

Showing results 21-40

Remote Nvidia Machine Learning information

See Magna, UT salary details

$24.9K

$41.5K

$85.9K

How much do remote nvidia machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote nvidia machine learning in Magna, UT is $41,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

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

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What cities near Magna, UT are hiring for Remote Nvidia Machine Learning jobs? Cities near Magna, UT with the most Remote Nvidia Machine Learning job openings:

AI Trainer - Microbiology Expert

micro1 AI

West Valley City, UT • Remote

$70 - $90/hr

Part-time

Posted 15 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.