2

Remote Nvidia Data Scientist Jobs in Nevada (NOW HIRING)

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Data Collection Specialist II

Las Vegas, NV · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Bachelor's degree in Engineering, Construction Management, Science, or related field Why Switch ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Bachelors degree in Engineering, Construction Management, Science, or related field Why Switch? * A ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

Showing results 21-40

Remote Nvidia Data Scientist information

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

AspectRemote Nvidia Data ScientistRemote Nvidia Machine Learning Engineer
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with data analysis and visualization toolsAdvanced degree in Computer Science, AI, or related; strong programming and ML framework knowledge
Work EnvironmentData analysis, modeling, and visualization tasks, often collaborating with data teamsDeveloping, deploying, and optimizing machine learning models, often in software development teams
Industry UsageUsed across research, analytics, and data-driven decision-making rolesCommon in AI product development, autonomous systems, and software engineering

The main difference is that Remote Nvidia Data Scientists focus on analyzing data and building statistical models, while Remote Nvidia Machine Learning Engineers develop and implement machine learning algorithms. Both roles require advanced technical skills and often work within the same industry sectors, but their core responsibilities differ in focus and application.

What are the most commonly searched types of Nvidia Data Scientist jobs in Nevada?

The most popular types of Nvidia Data Scientist jobs in Nevada are:

What are popular job titles related to Remote Nvidia Data Scientist jobs in Nevada?

For Remote Nvidia Data Scientist jobs in Nevada, the most frequently searched job titles are:

What cities in Nevada are hiring for Remote Nvidia Data Scientist jobs?

Cities in Nevada with the most Remote Nvidia Data Scientist job openings:

Medical Microbiology Consultant - Remote

micro1 AI

Sparks, NV • Remote

$70 - $90/hr

Part-time

Posted 20 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.