Remote Soil & Water Conservation Scientist - AI Review

Alignerr Corp.; Johannesburg; Remote; ZAR 567,000 - 1,134,000; Part time

Benefits offered by this job

Autonomy

Variety of tasks

Global collaboration

Job summary

Alignerr Corp. is seeking a Soil and Water Conservation Scientist (AI Training) for remote, hourly contract work. You will review AI-generated scenarios for scientific accuracy, focusing on erosion control, watershed management, soil health, and sustainable land use.

You will identify flawed assumptions and provide structured feedback to improve rigor and real-world applicability, working independently on a flexible schedule with a global community of experts.

Qualifications

• 3+ years of professional experience in soil science, hydrology, conservation planning, or a closely related field.
• Strong working knowledge of soil processes, water systems, and conservation techniques.
• Able to critically evaluate applied environmental science reasoning and spot errors that a non-expert would miss.
• Comfortable reading and reviewing detailed technical written content.

Responsibilities

• Review AI-generated soil and water conservation scenarios for scientific accuracy and practical validity.
• Assess content related to erosion control, watershed management, soil health, and sustainable land use.
• Identify flawed assumptions, oversimplifications, or impractical recommendations in AI outputs.
• Provide clear, structured feedback to improve scientific rigor, clarity, and real-world applicability.
• Work independently and asynchronously — on your own schedule and at your own pace.

Skills

Soil science

Hydrology

Conservation planning

Critical evaluation

Technical reading

Education

Graduate degree in Soil Science / Hydrology / Environmental Science

Job description

Alignerr Corp. is seeking a Soil and Water Conservation Scientist (AI Training) for remote, hourly contract work. You will review AI-generated scenarios for scientific accuracy, focusing on erosion control, watershed management, soil health, and sustainable land use.

You will identify flawed assumptions and provide structured feedback to improve rigor and real-world applicability, working independently on a flexible schedule with a global community of experts.