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Soil and Water Conservation Scientist
Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listed on 2026-10-08
Toronto, Ontario, C6A, Canada
Listing for:
Alignerr Corp.
Remote/Work from Home
position Listed on 2026-10-08
Job specializations:
-
Science
AI Evaluation, Environmental Science -
Research/Development
AI Evaluation
Job Description & How to Apply Below
AI is being trained to understand some of the most complex and consequential topics in environmental science — and it needs real experts to get it right. We're looking for soil and water conservation scientists to review, evaluate, and improve AI-generated content related to sustainable land and water management. Your expertise will directly influence how AI systems reason about erosion control, watershed health, soil science, and conservation planning — helping ensure these tools are scientifically sound and practically useful.
AboutThe Role
- Organization:
Alignerr (Powered by Labelbox) - Type:
Hourly / Task-based Contract - Location:
Fully Remote - Commitment: 10–40 hours/week
- Review AI-generated soil and water conservation scenarios for scientific accuracy and real-world applicability
- Evaluate content related to erosion control, watershed management, soil health, and conservation planning
- Identify flawed assumptions, impractical recommendations, or gaps in scientific reasoning
- Provide clear, structured feedback to improve the rigor and clarity of AI outputs
- Work independently and asynchronously — on your schedule, at your pace
- 3+ years of experience in soil science, hydrology, conservation planning, or a closely related field
- Strong foundational knowledge of soil processes, water systems, and land management techniques
- Able to critically assess applied environmental science reasoning and identify where AI gets it wrong
- Comfortable reviewing and annotating technical written content
- Self-motivated and reliable in a remote, task-based work environment
- Graduate degree in Soil Science, Hydrology, Environmental Science, or a related field
- Hands-on experience with field assessments or conservation planning tools
- Familiarity with AI content evaluation or data annotation workflows
- Put your scientific expertise to work on cutting-edge AI projects
- Fully remote and flexible — work from anywhere, on your own schedule
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Contribute to meaningful work that helps AI better understand and support environmental conservation
- Potential for ongoing work and contract extension
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