Soil and Water Conservation Scientist

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, reasons about, and communicates complex conservation topics — making a real impact on how this technology serves environmental professionals and the public.

• 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 validity
• Assess content related to erosion control, watershed management, soil health, and sustainable land use
• Identify flawed assumptions, oversimplifications, 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 and at your own pace

Who You Are

• 3+ years of professional experience in soil science, hydrology, conservation planning, or a closely related field
• Strong working knowledge of soil processes, water systems, and conservation techniques
• Able to critically evaluate applied environmental science reasoning and spot errors that a non-expert would miss
• Comfortable reading and reviewing detailed technical written content
• Self-motivated and reliable when working independently on task-based assignments

Nice to Have

• Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
• Hands-on experience with field assessments, conservation planning tools, or land management programs
• Familiarity with AI systems, content evaluation workflows, or technical writing

Why Join Us

• Work on cutting-edge AI projects with top research labs — your domain expertise has a direct impact
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts
• Meaningful work that helps AI get environmental science right
• Potential for ongoing work and contract extension