Project Overview We are sourcing independent Search Engine Evaluation Specialists to provide their expertise for an AI benchmark evaluation project.
Soil and Water Conservation Scientist
Job description
Soil and Water Conservation Scientist (AI Training)
About the Role
We're looking for soil and water conservation scientists to help shape how AI understands sustainable land and water management. Your real-world expertise will directly influence the accuracy and reliability of AI systems used in environmental science — making a tangible impact on how AI reasons about the natural world.
- 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 content covering soil and water conservation topics for scientific accuracy
- Assess scenarios related to erosion control, watershed management, soil health, and conservation planning
- Identify flawed assumptions, unsound reasoning, or impractical recommendations in AI outputs
- Provide structured, expert feedback to improve the scientific rigor and clarity 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 closely related field
- Strong working knowledge of soil processes, water systems, and conservation best practices
- Able to critically evaluate applied environmental science reasoning and written technical content
- Detail-oriented, reliable, and comfortable working independently
- No prior AI experience required — your domain expertise is what matters
Nice to Have
- Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
- Experience with field assessments, GIS tools, or conservation planning platforms
- Familiarity with AI content evaluation or data labeling workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs and make your expertise count
- Fully remote and flexible — complete tasks on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI get environmental science right
- Potential for ongoing work and contract extension
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