Wildlife and Habitat Conservation Scientist

Alignerr; Greater London; Remote; GBP 28,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr is seeking a Wildlife and Habitat Conservation Scientist (AI Training) to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. This remote, hourly/task-based contract lets you contribute scientific expertise to shape AI understanding and communication of conservation topics.

The role requires 3+ years in wildlife biology or related fields, with a graduate degree preferred.

Qualifications

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or related field.
• Strong foundation in biodiversity and ecosystem dynamics.
• Ability to critically evaluate ecological reasoning in written/scenario formats.

Responsibilities

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy and ecological validity.
• Assess quality of ecological reasoning and proposed conservation strategies.
• Identify unrealistic assumptions or misapplied conservation methods.
• Provide clear, structured feedback to help AI reason more accurately about biodiversity and ecosystem management.
• Work independently and asynchronously on your own schedule.

Skills

Wildlife biology

Ecology

Biodiversity conservation

Critical evaluation

Attention to detail

Education

Graduate degree in Ecology/Wildlife Biology/Conservation Science

Tools

AI content evaluation workflows

Job description

Wildlife and Habitat Conservation Scientist (AI Training)

About The Role

We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your scientific expertise will directly shape how AI understands, reasons about, and communicates conservation topics — making a real impact on how these critical subjects are represented in next-generation AI tools.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based 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 proposed conservation strategies
• Identify unrealistic assumptions, logical errors, or misapplied conservation methods
• Provide clear, structured feedback that helps AI systems reason more accurately about biodiversity and ecosystem management
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or a closely related field
• Strong foundational knowledge of biodiversity, ecosystem dynamics, and applied conservation
• Able to critically evaluate ecological reasoning presented in written, scenario-based formats
• Comfortable working through structured scientific content with attention to detail
• Self-motivated and reliable when working independently

Nice to Have

• Graduate degree in Ecology, Wildlife Biology, Conservation Science, or a related discipline
• Hands-on field research or conservation program experience
• Familiarity with AI systems, content evaluation workflows, or scientific peer review

Why Join Us

• Work on cutting-edge AI projects at the intersection of science and technology
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and collaboration with experts across the globe
• Contribute to meaningful work that improves how AI understands the natural world
• Potential for ongoing work and contract extension