Remote Ecology AI Auditor (Conservation Scientist)

Alignerr Corp.; Johannesburg; Remote; ZAR 276,000 - 413,000; Part time

Job summary

Alignerr invites wildlife and habitat conservation scientists to join an AI training project. You will review and improve AI-generated conservation scenarios, ensuring ecological validity and sound reasoning.

The role is remote, hourly, with flexible 10–40 hours per week, and contributes to ongoing AI conservation research efforts. Ideal candidates have 3+ years in wildlife biology or ecology, strong biodiversity knowledge, and experience annotating scientific content.

Qualifications

• 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation.
• Strong foundational knowledge of biodiversity science and ecosystem management.
• Able to critically evaluate applied ecological reasoning presented in written form.
• Comfortable reviewing and annotating structured scientific content.
• Self-motivated and reliable with the ability to meet project deadlines independently.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity
• Assess the quality of ecological reasoning, biodiversity analysis, and conservation strategies produced by AI
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
• Provide clear, structured feedback to improve the scientific integrity of AI outputs
• Work independently and asynchronously on your own schedule

Skills

Wildlife biology

Ecology knowledge

Critical evaluation

Scientific annotation

Time management

Education

Graduate degree

Job description

Alignerr invites wildlife and habitat conservation scientists to join an AI training project. You will review and improve AI-generated conservation scenarios, ensuring ecological validity and sound reasoning.

The role is remote, hourly, with flexible 10–40 hours per week, and contributes to ongoing AI conservation research efforts. Ideal candidates have 3+ years in wildlife biology or ecology, strong biodiversity knowledge, and experience annotating scientific content.