Soil and Water Conservation Scientist (AI Training) About The Role We're looking for soil and water conservation scientists to help evaluate and improve AI systems trained on sustainable land and water management practices. Your scientific expertise will directly shape how AI understands, reasons about, and communicates complex conservation topics — making a real impact on the quality of environmental AI for researchers, practitioners, and policymakers worldwide.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review AI-generated soil and water conservation scenarios for scientific accuracy and practical soundness
Assess content related to erosion control, watershed management, and soil health
Identify flawed assumptions, oversimplifications, or impractical recommendations in AI outputs
Provide clear, structured feedback to improve scientific rigor and readability
Work independently and asynchronously on your own schedule
Who You Are
3+ years of experience in soil science, hydrology, conservation planning, or a closely related field
Strong working knowledge of soil processes, water systems, and conservation techniques
Skilled at critically evaluating applied environmental science reasoning
Comfortable reviewing and providing feedback on technical written content
Self-motivated and reliable when working independently
Nice to Have
Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
Hands-on experience with field assessments or conservation planning tools
Familiarity with AI systems or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that improves how AI handles critical environmental science