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Remote Amazon Data Science Jobs in Tennessee (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 ...

AWS Connect Admin

Nashville, TN · Remote

$17.50 - $24/hr

... Amazon Web Services (AWS) Connect cloud-based contact center platform for our IT Call Center ... This position is Remote. We offer competitive compensation and an extraordinary benefits package ...

AWS Connect Admin

Nashville, TN · Remote

$17.50 - $24/hr

... Amazon Web Services (AWS) Connect cloud-based contact center platform for our IT Call Center ... This position is Remote. We offer competitive compensation and an extraordinary benefits package ...

Infrastructure Platform Engineer

Oak Ridge, TN · On-site +1

$102K - $134K/yr

On-site or Hybrid preferred (Oak Ridge, TN), but will consider remote Overview: The High ... This group provides state-of-the-art computational and data science infrastructure coupled with ...

Senior Software Engineer

Nashville, TN · On-site +1

$118K - $156K/yr

... NTT DATA's Nashville TN or Plano TX office Degree: Bachelor's in computer science or Master ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

New

Senior Software Engineer

Nashville, TN · On-site +1

$118K - $156K/yr

... NTT DATA's Nashville TN or Plano TX office Degree: Bachelor's in computer science or Master ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

New

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

Any experience with healthcare/life-sciences data (claims, referrals, HCP, ICD-10) or another ... Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use ...

Showing results 41-60

Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

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For Remote Amazon Data Science jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Science jobs in Tennessee look for?

The top searched job categories for Remote Amazon Data Science jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Amazon Data Science jobs?

Cities in Tennessee with the most Remote Amazon Data Science job openings:

Infographic showing various Remote Amazon Data Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Murfreesboro, TN • Remote

$70 - $90/hr

Part-time

Posted 23 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.