Overview
Soil and Water Conservation Scientist (AI Training)
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 complex conservation topics — making a real impact on the quality and reliability of next-generation AI tools used in environmental science.
* Organization: Alignerr (Powered by Labelbox)
* Type: Hourly / Task-based Contract
* Location: Remote
* Commitment: 10–40 hours/week
Responsibilities
* 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* Identify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputs
* Provide clear, structured feedback that improves the scientific rigor, clarity, and real-world applicability of AI responses
* Work independently and asynchronously on task-based assignments that fit your schedule
Qualifications
* 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a closely related field
* Strong foundational knowledge of soil processes, water systems, and land conservation techniques
* Able to critically evaluate applied environmental science reasoning and identify where AI goes wrong
* Comfortable reviewing and providing written feedback on technical scientific 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 discipline
* Experience with field assessments, GIS tools, or conservation planning software
* Familiarity with AI systems, content evaluation workflows, or scientific peer review processes
Why Join Us
* Work on cutting-edge AI projects with top research labs and help define how AI handles real environmental science
* Fully remote and flexible — work on your schedule, from anywhere
* Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts
* Contribute to meaningful work that improves AI accuracy in fields that matter for the planet
* Potential for ongoing work and contract extension as projects evolve
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