Soil and Water Conservation Scientist

Alignerr; Manchester; Remote; GBP 34,000 - 69,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr is seeking experienced soil and water conservation scientists to evaluate AI-generated content and improve the scientific rigor of responses in environmental science. This remote, hourly contract offers flexible hours and independent, asynchronous work.

You will review scenarios, assess soil health, erosion control, and watershed management content, and provide actionable feedback to enhance AI reliability in conservation topics.

Qualifications

• 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a closely related field.
• Strong foundational knowledge of soil processes, water systems, and land conservation techniques.
• Able to critically evaluate applied environmental science reasoning and identify where AI goes wrong.
• Comfortable reviewing and providing written feedback on technical scientific content.
• Self-motivated and reliable with the ability to meet project deadlines independently.

Responsibilities

• Review and evaluate AI-generated soil and water conservation scenarios for scientific accuracy and practical validity.
• Assess content related to erosion control, watershed management, soil health, and conservation planning.
• Identify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputs.
• Provide clear, structured feedback that improves the scientific rigor, clarity, and real-world applicability of AI responses.
• Work independently and asynchronously on task-based assignments that fit your schedule.

Skills

Soil science

Hydrology

Conservation planning

Critical AI evaluation

Education

Graduate degree in Soil Science

Tools

GIS tools

Job description

Soil and Water Conservation Scientist (AI Training)

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 topics — making a real impact on the quality and reliability of next-generation AI tools used in environmental science.

• 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 soil and water conservation scenarios for scientific accuracy and practical validity
• Assess content related to erosion control, watershed management, soil health, and conservation planning
• Identify flawed assumptions, outdated methodologies, or impractical recommendations in AI outputs
• Provide clear, structured feedback that improves the scientific rigor, clarity, and real-world applicability of AI responses
• Work independently and asynchronously on task-based assignments that fit your schedule

Who You Are

• 3+ years of hands-on experience in soil science, hydrology, conservation planning, or a closely related field
• Strong foundational knowledge of soil processes, water systems, and land conservation techniques
• Able to critically evaluate applied environmental science reasoning and identify where AI goes wrong
• Comfortable reviewing and providing written feedback on technical scientific content
• Self-motivated and reliable with the ability to meet project deadlines independently

Nice to Have

• Graduate degree in Soil Science, Hydrology, Environmental Science, or a related discipline
• Experience with field assessments, GIS tools, or conservation planning software
• Familiarity with AI systems, content evaluation workflows, or scientific peer review processes

Why Join Us

• Work on cutting-edge AI projects with top research labs and help define how AI handles real environmental science
• Fully remote and flexible - work on your schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of subject matter experts
• Contribute to meaningful work that improves AI accuracy in fields that matter for the planet
• Potential for ongoing work and contract extension as projects evolve