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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Alignerr
New York,NY
Description
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