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 practices. Your scientific expertise will directly shape how AI understands, reasons about, and communicates complex conservation concepts — making a real impact on the quality of environmental AI for professionals and the public alike.
- 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 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- Identify flawed assumptions, outdated methods, or impractical recommendations in AI outputs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, clarity, and real-world applicability
- Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
- 3+ years of professional experience in soil science, hydrology, conservation planning, or a closely related field
- Strong working knowledge of soil processes, water systems, and applied conservation techniques
- Able to critically evaluate environmental science reasoning and identify where AI gets it wrong
- Comfortable reviewing and annotating technical written content with precision and consistency
- Self-motivated and reliable in a remote, independent work environment
Nice to Have
- Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
- Hands-on experience with field assessments, conservation planning tools, or regulatory frameworks
- Prior exposure to AI content evaluation, annotation workflows, or technical writing
Why Join Us
- Work on cutting-edge AI projects with real-world environmental impact
- Fully remote and flexible — work on your own schedule, anywhere
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Contribute to meaningful work that helps AI better understand and support sustainable land and water management
- Potential for ongoing work and contract extension