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Remote Geology Data Science 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 ...

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 ...

Environmental Site Assessor

Las Vegas, NV · On-site +1

$45K - $90K/yr

Bachelor's degree in Environmental Science, Geology, Engineering, Geography, or related field (or ... Remote -Boston, MA, Charlotte, NC, Columbus, OH, Dallas, TX, Houston, TX, Indianapolis, IN, Las ...

Showing results 41-60

Remote Geology Data Science information

What are some typical challenges faced by remote geology data scientists, and how can they be addressed?

Remote geology data scientists often encounter challenges related to collaborating with field teams, accessing large geospatial datasets, and ensuring data quality from a distance. Effective communication tools and regular virtual meetings help bridge the gap between remote and on-site teams. Utilizing cloud-based platforms for data storage and processing can facilitate access to large datasets, while standardized data collection protocols ensure consistency and accuracy. Building strong relationships with field personnel and staying proactive about potential data issues are key strategies for success in this role.

What is a remote geology data scientist?

A Remote Geology Data Scientist is a professional who analyzes geological data using advanced data science techniques, often working from a remote location. They apply statistical models, machine learning, and programming skills to extract insights from datasets related to earth sciences, such as mineral exploration, seismic activity, or environmental monitoring. Their work supports decision-making in industries like oil and gas, mining, and environmental consulting. Remote roles leverage digital tools and communication platforms to collaborate with teams and stakeholders from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote geology data scientist, and why are they important?

To thrive as a Remote Geology Data Scientist, you need a solid background in geology, strong analytical skills, and proficiency in data science, typically supported by a degree in geosciences or a related field. Familiarity with programming languages (such as Python or R), GIS software (like ArcGIS or QGIS), and experience with data visualization and machine learning tools are commonly required. Excellent problem-solving abilities, attention to detail, and strong communication skills help convey complex geological insights to diverse stakeholders. These skills are crucial for analyzing large geoscientific datasets remotely, driving data-driven decision-making, and contributing valuable insights to geological projects.

What are the most commonly searched types of Geology Data Science jobs in Nevada?

The most popular types of Geology Data Science jobs in Nevada are:

What are popular job titles related to Remote Geology Data Science jobs in Nevada?

For Remote Geology Data Science jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Geology Data Science jobs in Nevada look for?

The top searched job categories for Remote Geology Data Science jobs in Nevada are:

Medical Microbiology Consultant - Remote

micro1 AI

North Las Vegas, NV • Remote

$70 - $90/hr

Part-time

This job post has expired 1 day ago. 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.