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- Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs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
