Remote Conservation Scientist — AI Training & Evaluation

Alignerr Corp.; Sydney; Remote; AUD 55,000 - 110,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. seeks Wildlife and Habitat Conservation Scientist (AI Training) to evaluate and improve AI systems for biodiversity protection. Remote, hourly contract, 10–40 hours/week, flexible schedule, globally distributed team.

You will review ecological scenarios, assess AI reasoning, and provide structured feedback to enhance conservation content. Requires 3+ years in wildlife biology or ecology and ability to work independently.

Qualifications

• 3+ years of hands-on experience in wildlife biology, ecology or habitat conservation.
• Strong working knowledge of biodiversity principles and ecosystem management practices.
• Ability 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 deadlines independently.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity.
• Assess the quality of ecological reasoning, species assessments, and conservation strategies produced by AI systems.
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts.
• Provide clear, structured feedback that helps improve how AI models handle complex ecological topics.
• Work independently and asynchronously on your own schedule.

Skills

Wildlife biology

Ecology

Ecosystem management

Critical evaluation of ecological data

Education

Graduate degree in Ecology or related field

Job description

Alignerr Corp. seeks Wildlife and Habitat Conservation Scientist (AI Training) to evaluate and improve AI systems for biodiversity protection. Remote, hourly contract, 10–40 hours/week, flexible schedule, globally distributed team.

You will review ecological scenarios, assess AI reasoning, and provide structured feedback to enhance conservation content. Requires 3+ years in wildlife biology or ecology and ability to work independently.