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Remote Nvidia Data Scientist Jobs in Alabama (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 ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

$150K - $185K/yr

Ability to troubleshoot data science workloads * Actively participate within the Cloudera community ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

A bachelor's degree in computer science or related field or commensurate, documented experience in ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

... 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 ...

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 Alabama?

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

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

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

Infographic showing various Remote Nvidia Data Scientist job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Huntsville, AL • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.


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.