Remote Conservation Scientist for AI Training & Ecology

Alignerr Corp.; Denver (CO); Remote; USD 28,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Alignerr Corp. is seeking a Wildlife and Habitat Conservation Scientist to evaluate AI-trained biodiversity content. The role is remote, hourly-based, with flexible 10–40 hours per week, designed for independent contributors who can deliver rigorous ecological assessments.

You will review AI-generated scenarios, critique ecological validity, and provide structured feedback to improve AI reasoning about ecosystems and wildlife. No prior AI experience required; graduate degrees preferred.

Qualifications

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or related field.
• Foundational knowledge of biodiversity, ecosystem dynamics, and conservation management.
• Ability to critically evaluate applied ecological reasoning in written form.
• Comfortable reviewing and annotating structured scientific content.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy.
• Assess ecological reasoning, conservation strategies, and biodiversity recommendations.
• Identify unrealistic assumptions, flawed methodologies, or misapplied principles.
• Provide clear, structured feedback to improve AI system reasoning.
• Work independently and asynchronously on your own schedule.

Skills

Wildlife biology

Ecology

Conservation management

Critical evaluation

Self-motivation

Independent work

Education

Graduate degree in Ecology / Wildlife Biology / Environmental Science

Tools

AI tools

Job description

Alignerr Corp. is seeking a Wildlife and Habitat Conservation Scientist to evaluate AI-trained biodiversity content. The role is remote, hourly-based, with flexible 10–40 hours per week, designed for independent contributors who can deliver rigorous ecological assessments.

You will review AI-generated scenarios, critique ecological validity, and provide structured feedback to improve AI reasoning about ecosystems and wildlife. No prior AI experience required; graduate degrees preferred.