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 content. Your scientific expertise will directly shape how AI understands, reasons about, and communicates critical environmental concepts — from erosion control to watershed management. This is a fully remote, flexible contract role that lets you contribute meaningfully to cutting-edge AI development on your own schedule.
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 real-world applicability
Assess content related to erosion control, watershed management, soil health, and conservation planning
Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs
Provide clear, structured feedback to improve scientific rigor, depth, and clarity
Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
3+ years of hands-on experience in soil science, hydrology, conservation planning, or a related field
Strong working knowledge of soil processes, water systems, and land conservation techniques
Able to critically evaluate applied environmental science reasoning and identify gaps or errors
Comfortable reviewing and responding to technical written content with precision
Self-motivated and reliable when working independently
Nice to Have
Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
Experience conducting field assessments or using conservation planning tools
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 a global team
Fully remote and flexible — complete tasks on your own schedule, anywhere in the world
Freelance perks: autonomy, variety, and the satisfaction of impactful work
Contribute to meaningful projects that improve how AI handles real environmental science
Potential for ongoing work and contract extension as new projects launch