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. 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 decision-makers worldwide.
- 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- Identify flawed assumptions, outdated practices, or impractical recommendations in AI outputs
- Provide clear, structured feedback to improve the scientific rigor and real-world applicability of AI responses
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a related field
- Strong foundational knowledge of soil processes, water systems, and land management techniques
- Able to critically evaluate applied environmental science reasoning and identify where AI goes wrong
- Comfortable reviewing and providing feedback on technical written content
- 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, GIS tools, or conservation planning software
- Familiarity with AI systems, content evaluation workflows, or technical writing
Why Join Us
- Work on cutting-edge AI projects that sit at the intersection of environmental science and technology
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts
- Contribute to meaningful work that helps AI reason more responsibly about our natural environment
- Potential for ongoing work and contract extension