Soil and Water Conservation Scientist
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 conservation topics — making a real impact on how this technology serves environmental professionals and the planet.
- 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 validity
- Assess content related to erosion control, watershed management, soil health, and conservation planning
- Identify flawed assumptions, oversimplified conclusions, or impractical recommendations in AI outputs
- Provide clear, structured feedback to improve the scientific rigor and clarity of AI-generated content
- 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
- Ability to critically evaluate applied environmental science reasoning and identify errors
- Comfortable reviewing and providing feedback on technical written content
- Self-motivated and reliable with the ability to meet project deadlines independently
Nice to Have
- Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field
- Experience with field assessments, conservation planning tools, or regulatory frameworks
- Familiarity with AI systems, content evaluation workflows, or data annotation
Why Join Us
- Work on cutting-edge AI projects with top research labs and help shape the next generation of AI
- Fully remote and flexible — complete tasks on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global network of experts
- Contribute to meaningful work that helps AI reason more responsibly about environmental science
- Potential for ongoing work and contract extension as new projects launch
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