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Soil and Water Conservation Scientist

Alignerr

Science & Research Contractor
Remote (Global) $30 – $55/hr June 11, 2026

Job description

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 technology.

  • 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 applicability
  • Assess content related to erosion control, watershed management, and soil health
  • Identify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputs
  • Provide clear, structured feedback to improve scientific rigor, clarity, and real-world relevance
  • 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
  • Comfortable reviewing and responding to technical written content
  • Detail-oriented and self-motivated with the ability to meet deadlines independently

Nice to Have

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

Why Join Us

  • Work on cutting-edge AI projects with top research labs
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that helps AI get environmental science right
  • Potential for ongoing work and contract extension
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