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 trained on sustainable land and water management. Your real-world expertise will directly shape how AI understands, reasons about, and communicates critical environmental science — from erosion control to watershed management. This is a fully remote, flexible contract role where your scientific knowledge makes a tangible difference in the quality and reliability of next-generation AI tools.
- 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 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- Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs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
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
- Able to critically evaluate applied environmental science reasoning and spot errors others might miss
- Comfortable reviewing and annotating technical written content
- Self-motivated and reliable — you can meet project deadlines without close supervision
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 and make a real impact on how AI handles environmental science
- Fully remote and flexible — work when it suits you, from wherever you are
- Freelance perks: autonomy, variety, and collaboration with a global community of experts
- Contribute to meaningful work that helps AI get environmental science right
- Potential for ongoing work and contract extension as projects grow
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