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Soil and Water Conservation Scientist
Job description
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 content. Your scientific expertise will directly shape how AI understands and communicates critical topics like erosion control, watershed management, and soil health — making a real-world impact on the future of environmental 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- Identify flawed assumptions, outdated methodologies, or impractical recommendations
- Provide clear, structured feedback to improve scientific rigor and content quality
- Work independently and asynchronously on a schedule that fits your life
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 written content
- Detail-oriented with clear written communication skills
- Self-motivated and comfortable working independently in a remote setting
Nice to Have
- Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field
- 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 that put your scientific expertise to real use
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global team of experts
- Contribute to meaningful work that shapes how AI handles environmental science
- Potential for ongoing work and contract extension
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