Soil and Water Conservation Scientist
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About The Role
AI is being trained to understand some of the most complex and consequential topics in environmental science — and it needs real experts to get it right. We're looking for soil and water conservation scientists to review, evaluate, and improve AI-generated content related to sustainable land and water management. Your expertise will directly influence how AI systems reason about erosion control, watershed health, soil science, and conservation planning — helping ensure these tools are scientifically sound and practically useful.
• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
•
Location:
Fully Remote
• Commitment: 10–40 hours/week
What You'll Do
• Review AI-generated soil and water conservation scenarios for scientific accuracy and real-world applicability
• Evaluate content related to erosion control, watershed management, soil health, and conservation planning
• Identify flawed assumptions, impractical recommendations, or gaps in scientific reasoning
• Provide clear, structured feedback to improve the rigor and clarity of AI outputs
• Work independently and asynchronously — on your schedule, at your pace Who You Are
• 3+ years of experience in soil science, hydrology, conservation planning, or a closely related field
• Strong foundational knowledge of soil processes, water systems, and land management techniques
• Able to critically assess applied environmental science reasoning and identify where AI gets it wrong
• Comfortable reviewing and annotating technical written content
• Self-motivated and reliable in a remote, task-based work environment Nice to Have
• Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field
• Hands-on experience with field assessments or conservation planning tools
• Familiarity with AI content evaluation or data annotation workflows Why Join Us
• Put your scientific expertise to work on cutting-edge AI projects
• Fully remote and flexible — work from anywhere, on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Contribute to meaningful work that helps AI better understand and support environmental conservation
• Potential for ongoing work and contract extension
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