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Soil and Water Conservation Scientist

Remote Full-time Live

Soil and Water Conservation Scientist (AI Training) About The Role AI is being trained to understand some of the most complex challenges facing our planet — and we need real scientists to make sure it gets things right. We're looking for experienced soil and water conservation scientists to review and evaluate AI-generated content on sustainable land and water management. Your expertise will directly shape how AI understands erosion control, watershed health, and soil conservation — making a measurable impact on the future of environmental science in AI.

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

What You'll Do

  • Review AI-generated soil and water conservation scenarios for scientific accuracy and practical soundness
  • Evaluate content covering erosion control, watershed management, soil health, and related topics
  • Identify flawed assumptions, oversimplifications, or impractical recommendations in AI outputs
  • Provide clear, structured feedback that improves the scientific rigor and clarity of AI responses
  • Work independently and asynchronously — on your schedule, at your pace

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 would miss
  • Comfortable reviewing and assessing technical written content with precision and clarity
  • Self-motivated and reliable when working independently on task-based projects

Nice to Have

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

Why Join Us

  • Work on cutting-edge AI projects with real-world environmental impact
  • Fully remote and flexible — work whenever and wherever suits you
  • Freelance perks: autonomy, variety, and collaboration with experts across the globe
  • Contribute to ensuring AI gets environmental science right
  • Potential for ongoing work and contract extension

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