Remote Soil & Water Conservation Scientist AI Training

Soil and Water Conservation Scientist (AI Training)

About the Role

We're looking for experienced soil and water conservation scientists to help evaluate and improve AI systems trained on sustainable land and water management content. Your scientific expertise will directly shape how AI understands, reasons about, and communicates critical environmental concepts - from erosion control to watershed management.

This is a fully remote, flexible contract role that lets you contribute meaningfully to cutting-edge AI development on your own schedule.

• Organization
  :
  Alignerr (Powered by Labelbox)
• Type
  :
  Hourly / Task-based Contract
• Location
  :
  Remote
• Commitment
  : 10-40 hours/week

• Review and evaluate AI-generated soil and water conservation scenarios for scientific accuracy and real-world applicability
• Assess content related to erosion control, watershed management, soil health, and conservation planning
• Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs
• Provide clear, structured feedback to improve scientific rigor, depth, and clarity
• Work independently and asynchronously to complete task-based assignments on your own schedule

• 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a related field
• Strong working knowledge of soil processes, water systems, and land conservation techniques
• Able to critically evaluate applied environmental science reasoning and identify gaps or errors
• Comfortable reviewing and responding to technical written content with precision
• Self-motivated and reliable when working independently

• Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
• Experience conducting field assessments or using conservation planning tools
• Familiarity with AI systems, content evaluation workflows, or scientific peer review processes

• Work on cutting-edge AI projects with top research labs and a global team
• Fully remote and flexible - complete tasks on your own schedule, anywhere in the world
• Freelance perks: autonomy, variety, and the satisfaction of impactful work
• Contribute to meaningful projects that improve how AI handles real environmental science
• Potential for ongoing work and contract extension as new projects launch