Soil and Water Conservation Scientist

Job summary

Review and evaluate AI-generated content on soil and water conservation for scientific accuracy and practical applicability, including topics such as erosion control, watershed management, soil health, and conservation planning. Identify flawed assumptions and gaps in reasoning, then provide structured feedback to improve the rigor and clarity of AI outputs.

Job details

Soil and Water Conservation Scientist (AI Training) About The Role 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. Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract Location: Fully Remote Commitment: 10–40 hours/week What You'll Do 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 Who You Are 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 Nice to Have 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 Why Join Us 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

What you’ll do

Review and evaluate AI-generated content on soil and water conservation for scientific accuracy and practical applicability, including topics such as erosion control, watershed management, soil health, and conservation planning. Identify flawed assumptions and gaps in reasoning, then provide structured feedback to improve the rigor and clarity of AI outputs.

Requirements

Requires at least three years of experience in soil science, hydrology, conservation planning, or a closely related field, along with strong knowledge of soil processes, water systems, and land management. Candidates should be able to assess technical content, work independently in a remote task-based environment, and reliably provide clear feedback; a related graduate degree and field or conservation-planning experience are preferred.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Varied Work
• Collaboration With a Global Expert Community
• Potential for Ongoing Work and Contract Extension

Listed skills

• Critical Thinking · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Soil Science
• Hydrology
• Soil Processes
• Water Systems
• Erosion Control
• Watershed Management
• Soil Health
• Conservation Planning
• Land Management
• Environmental Science Assessment
• Scientific Content Evaluation
• Technical Writing Review
• Critical Thinking
• Field Assessment
• Data Annotation

Job areas

• Environmental & Sustainability
• Science & Research
• Agriculture
• Technology

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