Wildlife and Habitat Conservation Scientist

Alignerr Corp.; Melbourne; Remote; AUD 55,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Autonomy

Global collaboration

Job summary

Alignerr Corp. (Powered by Labelbox) seeks a Wildlife and Habitat Conservation Scientist to audit AI-generated conservation scenarios. This is an hourly contract, fully remote, with a commitment of 10–40 hours per week.

You will assess ecological validity and the quality of proposed strategies, identify flawed reasoning, and provide clear feedback to improve AI outputs. Work independently on your schedule with potential for ongoing engagement.

Qualifications

• 3+ years hands-on experience in wildlife biology, ecology, or habitat conservation.
• Strong knowledge of biodiversity and ecosystem dynamics.
• Ability to critically evaluate ecological reasoning in written form.
• Experience reviewing and annotating structured scientific content.
• Self-motivated and able to meet deadlines independently.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity.
• Assess quality of ecological reasoning and the appropriateness of conservation strategies presented by AI.
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles.
• Provide clear, structured feedback to help improve AI outputs in your domain.
• Work independently and asynchronously on your own schedule.

Skills

Wildlife biology

Ecology

Conservation management

Scientific evaluation

Education

Graduate degree in Ecology / Wildlife Biology / Conservation Science

Job description

Wildlife and Habitat Conservation Scientist (AI Training)

About The Role

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity
• Assess the quality of ecological reasoning and the appropriateness of conservation strategies presented by AI
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
• Provide clear, structured feedback that helps improve AI outputs in your domain
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of hands‑on experience in wildlife biology, ecology, or habitat conservation
• Strong foundational knowledge of biodiversity, ecosystem dynamics, and conservation management
• Able to critically evaluate applied ecological reasoning in written form
• Comfortable reviewing and annotating structured scientific content
• Self‑motivated, reliable, and able to meet project deadlines independently

Nice to Have

• Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related field
• Field research experience or direct involvement in conservation programs
• Familiarity with AI systems, content evaluation workflows, or scientific peer review

Why Join Us

• Work on cutting‑edge AI projects with real‑world conservation impact
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Exposure to advanced large language models (LLMs) and how they’re trained and evaluated
• Contribute to meaningful work that helps AI reason more responsibly about the natural world
• Potential for ongoing work and contract extension