About this role
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 practices. Your scientific expertise will directly shape how AI understands and communicates critical environmental concepts — from erosion control to watershed health — making a real impact on the quality of AI in environmental science. 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 covering erosion control, watershed management, soil health, and conservation planning Identify flawed assumptions, outdated practices, or technically impractical recommendations Provide clear, structured feedback to improve the scientific rigor and clarity of AI outputs Work independently and asynchronously on your own schedule Who You Are 3+ years of hands-on experience in soil science, hydrology, or conservation planning Strong working knowledge of soil processes, water systems, and conservation techniques Ability to critically evaluate applied environmental science reasoning Comfortable reviewing and annotating technical written content Self-motivated and reliable when working independently Nice to Have Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field Experience with field assessments, conservation planning tools, or regulatory frameworks 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 real-world environmental science Potential for ongoing work and contract extension