Remote Wildlife & Habitat Scientist for AI Training

Alignerr Corp.; United States; Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Autonomy

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. Your field expertise will influence the accuracy and reliability of AI systems tackling ecological challenges.

This is a fully remote, hourly contract role. You will review AI-generated wildlife scenarios for scientific accuracy, provide structured feedback, and work asynchronously to meet project deadlines.

Qualifications

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or related field.
• Strong working 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
• Evaluate the quality of ecological reasoning and proposed conservation strategies
• Identify unrealistic assumptions, logical gaps, or misapplied conservation methods
• Provide clear, structured feedback to improve the ecological validity of AI outputs
• Work independently and asynchronously to meet project deadlines on your own schedule

Skills

Wildlife biology

Ecology

Habitat conservation

Critical evaluation

Education

Graduate degree in Ecology or Wildlife Biology

Job description

Alignerr Corp. is seeking a Wildlife and Habitat Conservation Scientist to help shape how AI understands biodiversity protection and ecosystem management. Your field expertise will influence the accuracy and reliability of AI systems tackling ecological challenges.

This is a fully remote, hourly contract role. You will review AI-generated wildlife scenarios for scientific accuracy, provide structured feedback, and work asynchronously to meet project deadlines.