About this role
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 environmental concepts — making a real impact on the future of conservation-focused AI. Organization: Alignerr (Powered by Labelbox) Type: Hourly 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soundness Assess content related to erosion control, watershed management, and soil health Identify flawed assumptions, outdated practices, or impractical recommendations in AI outputs Provide structured, detailed feedback to improve scientific rigor, clarity, and real-world applicability 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 foundational understanding of soil processes, water systems, and conservation techniques Able to critically evaluate applied environmental science reasoning and spot errors in technical content Clear and effective written communicator comfortable working with technical material Self-motivated and reliable — able to meet deadlines without close supervision Nice to Have Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field Experience with field assessments, GIS tools, or conservation planning software Familiarity with AI systems, content evaluation workflows, or data annotation Why Join Us Work on cutting-edge AI projects with top research labs and AI organizations Fully remote and flexible — work on your own schedule, from anywhere Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that helps AI better understand and support environmental conservation Potential for ongoing work and contract extension