Soil and Water Conservation Scientist

Alignerr

Atlanta (GA)

Remote

USD 34,000 - 83,000

Part time

13 hours ago
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Benefits offered by this job

Autonomy for freelance work
Flexible schedule

Job summary

Alignerr (Powered by Labelbox) seeks experienced soil and water conservation scientists to review AI-generated content on sustainable land and water management. You will evaluate erosion control, watershed health, and soil conservation topics, ensuring scientific accuracy and practical soundness.

With 3+ years in soil science or hydrology, you’ll critique technical content, provide precise feedback, and work independently on flexible, remote projects that may extend to ongoing collaborations.

Qualifications

  • 3+ years 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 environmental reasoning and spot errors.
  • Confident in reviewing technical written content with precision and clarity.
  • Self-motivated and reliable for independent, task-based work.

Responsibilities

  • 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 scientific rigor and clarity of AI responses.
  • Work independently and asynchronously — on your schedule, at your pace.

Skills

Soil science
Hydrology
Conservation planning
Technical writing
Critical evaluation

Education

Graduate degree in Soil Science or related field

Job description

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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