Remote Soil & Water AI Validation Scientist

Alignerr Corp.; Manchester; On-site; GBP 34,000 - 69,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking experienced soil and water conservation scientists to help evaluate and improve AI systems trained on sustainable land and water management practices. Your expertise will shape how AI understands and communicates conservation topics. This remote, hourly contract offers flexible 10–40 hours per week. You'll review AI outputs for accuracy, identify flawed assumptions, and provide clear feedback to strengthen scientific rigor and real-world applicability.

Qualifications

• 3+ years hands-on experience in soil science or related field.
• Strong knowledge of soil processes, water systems, and land conservation.
• Ability to evaluate AI-generated scientific content and provide feedback.

Responsibilities

• Review and evaluate AI-generated soil and water conservation scenarios.
• Assess erosion control, watershed management, soil health, and conservation planning.
• Identify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputs.
• Provide clear, structured feedback to improve scientific rigor and applicability of AI responses.
• Work independently and meet project deadlines.

Skills

Soil Science

Hydrology

Conservation Planning

Environmental Science

Critical Evaluation

Education

Graduate degree in Soil Science, Hydrology, Environmental Science, or related discipline

Tools

GIS Tools

Conservation Planning Software

Job description

Alignerr is seeking experienced soil and water conservation scientists to help evaluate and improve AI systems trained on sustainable land and water management practices. Your expertise will shape how AI understands and communicates conservation topics. This remote, hourly contract offers flexible 10–40 hours per week. You'll review AI outputs for accuracy, identify flawed assumptions, and provide clear feedback to strengthen scientific rigor and real-world applicability.