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Soil and Water Conservation Scientist

$30-55/hrRemoteFreelanceSTEM

About the Role

We're looking for soil and water conservation scientists to help shape how AI understands sustainable land and water management. Your real-world expertise will directly influence the accuracy and reliability of AI systems used in environmental science — making a tangible impact on how AI reasons about the natural world.

  • Organization: Alignerr (Powered by Labelbox)
  • Type: Hourly / Task-based Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Review and evaluate AI-generated content covering soil and water conservation topics for scientific accuracy
  • Assess scenarios related to erosion control, watershed management, soil health, and conservation planning
  • Identify flawed assumptions, unsound reasoning, or impractical recommendations in AI outputs
  • Provide structured, expert feedback to improve the scientific rigor and clarity of AI responses
  • Work independently and asynchronously on your own schedule

Who You Are

  • 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a closely related field
  • Strong working knowledge of soil processes, water systems, and conservation best practices
  • Able to critically evaluate applied environmental science reasoning and written technical content
  • Detail-oriented, reliable, and comfortable working independently
  • No prior AI experience required — your domain expertise is what matters

Nice to Have

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

Why Join Us

  • Work on cutting-edge AI projects with top research labs and make your expertise count
  • Fully remote and flexible — complete tasks 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