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 complex conservation topics — making a real impact on the quality and reliability of next-generation AI tools.

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 soundness
Assess content covering erosion control, watershed management, soil health, and related topics
Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs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 — on a schedule that fits your life

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 conservation best practices
Able to critically evaluate applied environmental science reasoning and spot where AI gets it wrong
Comfortable reviewing and annotating technical written content with precision
Self-motivated and reliable when working independently on task-based assignments

Nice to Have

Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
Experience with field assessments, conservation planning tools, or land management programs
Familiarity with AI systems, content evaluation workflows, or technical writing

Why Join Us

Work on cutting-edge AI projects with real-world environmental impact
Fully remote and flexible — set your own hours and work 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