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Remote Computational Material Science Jobs in Mississippi

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... computational contexts. * Utilize rubrics and established evaluation criteria to assess data ...

... and computational science applications. * Conceptual Teaching & Problem-Solving: Skilled at ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Rhino Tutor

Starkville, MS · Remote

$18 - $40/hr

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Coding Tutor

Starkville, MS · Remote

$18 - $40/hr

Ability to explain computational thinking, pattern recognition, abstraction, and step-by-step ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... Adapts instruction using matrix visualization tools, computational software like MATLAB or Python ...

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Ability to identify concepts students commonly struggle with, explain material using multiple ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Showing results 21-38

Remote Computational Material Science information

What is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

What are popular job titles related to Remote Computational Material Science jobs in Mississippi?

For Remote Computational Material Science jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Remote Computational Material Science jobs in Mississippi look for?

The top searched job categories for Remote Computational Material Science jobs in Mississippi are:

What cities in Mississippi are hiring for Remote Computational Material Science jobs?

Cities in Mississippi with the most Remote Computational Material Science job openings:

Infographic showing various Remote Computational Material Science job openings in Mississippi as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

Jackson, MS • Remote

$70 - $90/hr

Part-time

Posted 22 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.