Remote Wildlife & Habitat AI Quality Scientist

Alignerr Corp.; France; Remote; EUR 14,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking a Wildlife and Habitat Conservation Scientist to help shape how AI understands biodiversity protection and ecosystem management.

This remote, flexible contract role lets you work on your own schedule while contributing to cutting‑edge AI development. You will review AI‑generated scenarios for scientific accuracy, assess ecological reasoning, identify flawed assumptions, and provide clear feedback to improve ecological validity.

Qualifications

• 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation.
• Strong foundational knowledge of biodiversity principles and ecosystem management.
• Able to critically evaluate applied ecological reasoning presented in written form.
• Comfortable reviewing and annotating structured scientific content.
• Detail-oriented, self-motivated, and reliable.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy.
• Assess the quality of ecological reasoning and proposed conservation strategies.
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts.
• Provide clear, structured feedback that improves the ecological validity of AI outputs.
• Work independently and asynchronously to complete task-based assignments on your own schedule.

Skills

Wildlife biology

Ecology

Ecological reasoning

Critical evaluation

Attention to detail

Education

Graduate degree in Ecology

Tools

AI systems familiarity

Content evaluation workflows

Job description

Alignerr Corp. is seeking a Wildlife and Habitat Conservation Scientist to help shape how AI understands biodiversity protection and ecosystem management.

This remote, flexible contract role lets you work on your own schedule while contributing to cutting‑edge AI development. You will review AI‑generated scenarios for scientific accuracy, assess ecological reasoning, identify flawed assumptions, and provide clear feedback to improve ecological validity.