Remote Wildlife AI Quality Reviewer & Conservation Scientist

Alignerr Corp.; Municipio de Rincón de los Sauces; Remote; ARS 53,330,000 - 127,992,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking a Wildlife and Habitat Conservation Scientist to help evaluate AI training data related to biodiversity and ecosystem management. You will review scenarios for scientific accuracy and contribute expert feedback on ecological reasoning.

This remote, hourly-contract role offers flexible scheduling (10–40 hours/week) and the chance to influence how AI reasons about conservation topics; ideal for researchers with 3+ years of field experience and a graduate degree.

Qualifications

• 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation.
• 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.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy.
• Assess the quality of ecological reasoning and conservation strategy recommendations.
• Identify unrealistic assumptions, misapplied methods, or scientifically unsound conclusions.
• Provide structured, expert feedback to improve the ecological validity of AI outputs.
• Work independently and asynchronously on your own schedule.

Skills

Wildlife biology

Ecology

Habitat conservation

Biodiversity principles

Education

Graduate degree in Ecology, Wildlife Biology, or related field

Job description

Alignerr is seeking a Wildlife and Habitat Conservation Scientist to help evaluate AI training data related to biodiversity and ecosystem management. You will review scenarios for scientific accuracy and contribute expert feedback on ecological reasoning.

This remote, hourly-contract role offers flexible scheduling (10–40 hours/week) and the chance to influence how AI reasons about conservation topics; ideal for researchers with 3+ years of field experience and a graduate degree.