11 days ago

Conservation Scientist

Micro1

Hybrid
Part Time
$130,000
Hybrid

Job Overview

Job TitleConservation Scientist
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$130,000
LocationHybrid

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Job Description

Job Summary

Join micro1’s team as a Conservation Scientist - AI Trainer and combine your expertise in natural resource management with the cutting edge of artificial intelligence. In this unique position, you will leverage your conservation knowledge to train AI systems, ensuring that technology supports sustainable land management, soil and water conservation, and environmental protection. You’ll play a pivotal role in bridging scientific best practices with AI-powered solutions for maximum environmental impact.

Key Responsibilities

  • Collaborate with AI developers to train and refine models using real-world conservation scenarios and data sets.
  • Apply principles of agronomy, soil science, forestry, and agriculture to support the accurate development of AI-powered conservation tools.
  • Design, review, and validate training materials and datasets representing best practices in soil and water management, erosion control, and rangeland protection.
  • Advise AI teams on conservation plans, land management problems, and sustainable solutions based on field expertise.
  • Monitor and assess AI project outputs to ensure alignment with conservation design specifications and environmental standards.
  • Develop actionable recommendations for AI-driven conservation strategies such as crop rotation, reforestation, and nutrient management.
  • Communicate complex scientific concepts clearly to technical and non-technical stakeholders through written and verbal channels.

Required Skills and Qualifications

  • Proven background as a Conservation Scientist, Resource Conservationist, or a related profession (e.g., Soil Conservationist, Land Reclamation Specialist).
  • Demonstrated experience in land, soil, or water resource management and protection.
  • Strong written and verbal communication skills, with an ability to translate environmental science into actionable insights for diverse audiences.
  • Familiarity with conservation practices such as crop rotation, contour plowing, terracing, and erosion control techniques.
  • Experience advising farmers, ranchers, or land managers on sustainable practices.
  • Capacity to work collaboratively within cross-functional remote teams, providing expert guidance to AI developers and data scientists.
  • Detail-oriented approach to reviewing, curating, and validating scientific datasets and materials.

Preferred Qualifications

  • Experience working with AI or machine learning projects in an advisory or training capacity.
  • Advanced degree in Environmental Science, Soil Science, Forestry, or a related field.
  • Previous involvement in developing or implementing conservation plans alongside technical teams.

Key skills/competency

  • Natural Resource Management
  • AI Training & Development
  • Soil & Water Conservation
  • Environmental Protection
  • Agronomy & Forestry
  • Data Validation
  • Conservation Planning
  • Sustainable Land Management
  • Erosion Control
  • Scientific Communication

Tags:

Conservation Scientist
natural resource management
AI training
soil conservation
water management
environmental protection
agronomy
forestry
data validation
conservation planning
scientific communication
AI
machine learning
data training
model development
data sets
environmental technology
geospatial analysis
software collaboration
cloud platforms
predictive analytics

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How to Get Hired at Micro1

  • Research micro1's mission: Study their commitment to innovation and AI integration, understanding how the Conservation Scientist fits.
  • Customize your resume: Highlight experience in natural resource management, AI training, and data validation for Conservation Scientist roles.
  • Showcase conservation expertise: Emphasize your background in agronomy, soil science, and sustainable land management practices.
  • Prepare for technical discussions: Be ready to discuss training AI models and applying scientific principles to real-world scenarios.
  • Demonstrate collaborative skills: Provide examples of advising technical teams and communicating complex scientific concepts effectively.

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