4 days ago

Earth Sciences Professor

Talent Bridge

Remote
Contractor
$180,000
Remote

Job Overview

Job TitleEarth Sciences Professor
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$180,000
LocationRemote

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Job Description

Earth Sciences Professor

We are seeking an experienced Atmospheric, Earth, Marine, and Space Sciences Teacher (Postsecondary) to contribute subject matter expertise to advanced AI training initiatives. In this fully remote role, you will leverage your academic and research background to help train and refine AI systems, while supporting high-quality digital learning experiences in the geosciences. This position offers a unique opportunity to combine postsecondary teaching experience with emerging AI technologies, helping shape the future of science education and intelligent systems.

Key Responsibilities

  • Develop and deliver structured academic content in areas such as structural geology, micrometeorology, atmospheric thermodynamics, oceanography, and planetary science
  • Evaluate and assess AI-generated academic materials, ensuring scientific accuracy and rigor
  • Review, annotate, and refine datasets and model outputs related to atmospheric, earth, marine, and space sciences
  • Supervise and design laboratory simulations, field research scenarios, and applied scientific exercises for AI training purposes
  • Utilize scientific computing and visualization tools to validate data and enhance AI model accuracy
  • Maintain clear documentation of grading standards, evaluation criteria, and academic workflows
  • Collaborate with cross-functional teams to improve AI-driven educational resources and scientific content
  • Contribute to continuous improvement initiatives for digital and AI-supported science education

Required Skills and Qualifications

  • Advanced degree (Master’s or PhD preferred) in Atmospheric Science, Earth Science, Marine Science, Space Science, Geosciences, or a related discipline
  • Demonstrated postsecondary teaching experience at the undergraduate and/or graduate level
  • Proficiency with scientific and analytical software such as: Ansys Fluent, MATLAB, WaveMetrics IGOR Pro, Wolfram Mathematica, ESRI ArcGIS / ArcInfo, Golden Software Voxler
  • Experience using Learning Management Systems (Blackboard, Desire2Learn, Sakai CLE, or similar LMS platforms)
  • Familiarity with scientific visualization and communication tools such as Adobe After Effects, Adobe Photoshop, and CorelDRAW
  • Strong written and verbal communication skills
  • Experience with collaborative tools including Google Docs and Microsoft Word
  • Excellent organizational, analytical, and record-keeping abilities

Preferred Qualifications

  • Experience contributing to AI model training, data annotation, or digital curriculum development
  • Background in remote or hybrid postsecondary instruction
  • Active research portfolio or publication record in a relevant scientific discipline
  • Experience integrating computational modeling and geospatial tools into instruction

Key skills/competency

  • Geoscience
  • AI Training
  • Academic Content Development
  • Scientific Accuracy
  • Data Annotation
  • Scientific Computing
  • Visualization Tools
  • Postsecondary Education
  • LMS Platforms
  • Research

Tags:

Earth Sciences Professor
AI training
subject matter expert
content development
evaluation
data annotation
scientific computing
visualization
digital learning
curriculum development
research
Ansys Fluent
MATLAB
WaveMetrics IGOR Pro
Wolfram Mathematica
ESRI ArcGIS
Golden Software Voxler
Blackboard
Desire2Learn
Sakai CLE
Adobe After Effects

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How to Get Hired at Talent Bridge

  • Research Talent Bridge's unique model: Understand their focus on connecting academic expertise with AI training initiatives.
  • Tailor your resume for AI and remote work: Highlight any experience in AI model training, data annotation, or digital curriculum development, alongside your remote teaching background.
  • Showcase your academic rigor and technical proficiency: Emphasize your advanced degree, postsecondary teaching experience, and hands-on use of scientific software like MATLAB or ArcGIS.
  • Prepare to discuss scientific accuracy and content evaluation: Be ready to articulate your methods for ensuring the rigor of academic materials and your approach to reviewing AI-generated content.
  • Demonstrate collaborative and adaptable skills: Discuss experiences working in cross-functional teams and adapting to new digital learning environments or emerging technologies.

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