Soil and Water Conservation Scientist

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 being trained on sustainable land and water management content. Your scientific expertise will directly shape how AI understands and communicates complex conservation topics — from erosion control to watershed management — making a real difference in how this technology serves environmental professionals and practitioners 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, soil health, and conservation planning
• Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs
• Provide clear, structured feedback to improve scientific rigor, clarity, and real-world applicability
• Work independently and asynchronously on your own schedule to meet project milestones

Who You Are

• 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a closely related field
• Strong foundational understanding of soil processes, water systems, and conservation techniques
• Able to critically evaluate applied environmental science reasoning and identify gaps or errors
• Comfortable reviewing and providing written feedback on technical content
• Self-motivated and reliable when working independently in a remote environment

Nice to Have

• Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
• Experience with field assessments, GIS tools, or conservation planning software
• Familiarity with AI systems, content evaluation workflows, or technical writing

Why Join Us

• Work on cutting-edge AI projects alongside leading research organizations
• Fully remote and flexible — complete tasks on your own schedule
• Freelance perks: autonomy, variety, and collaboration with a global network of experts
• Contribute to meaningful work that helps AI better understand and communicate real environmental science
• Potential for ongoing work and contract extension as new projects launch