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 practices. Your scientific expertise will directly shape how AI understands, reasons about, and communicates critical environmental topics — from erosion control to watershed management.
This is a fully remote, flexible contract role where your real-world knowledge makes a measurable difference in the quality of AI used by researchers, planners, and conservationists worldwide.
- 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 soil and water conservation scenarios for scientific accuracy and practical validity
- Assess content related to erosion control, watershed management, soil health, and conservation planning
- Identify flawed assumptions, oversimplifications, or impractical recommendations in AI outputs
- Provide clear, structured feedback to improve scientific rigor, clarity, and real-world applicability
- Work independently and asynchronously on your own schedule to meet project deadlines
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 land conservation techniques
- Able to critically evaluate applied environmental science reasoning and spot errors others might miss
- Comfortable reviewing and annotating technical written content with precision and consistency
- Self-motivated and reliable when working independently in a remote, async environment
Nice to Have
- Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
- Experience with field assessments, GIS tools, or conservation planning software
- Familiarity with AI systems, content evaluation workflows, or data annotation platforms
Why Join Us
- Work on cutting-edge AI projects that intersect environmental science and emerging technology
- Fully remote and flexible — work on your own schedule from anywhere
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Contribute to meaningful work that helps AI get environmental science right
- Potential for ongoing work and contract extension as projects grow
