Wildlife and Habitat Conservation Scientist

Alignerr Corp.; Cape Town; Remote; ZAR 455.000 - 1.366.000; Teilzeit

Benefits dieser Stelle

Remote work

Flexible schedule

Potential extension

Zusammenfassung

Alignerr Corp. is seeking a Wildlife and Habitat Conservation Scientist (AI Training) for a fully remote, hourly contract. You will review AI-generated wildlife scenarios for scientific accuracy and assess ecological reasoning to ensure credible conservation strategies.

This role offers flexible scheduling and independence. With 3+ years in wildlife biology or related fields, you will contribute to annotating and evaluating ecological content, while collaborating asynchronously with a global

Qualifikationen

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or closely related field.
• Strong working knowledge of biodiversity principles and ecosystem management.
• Ability to critically evaluate applied ecological reasoning presented in written form.
• Comfortable reading and reviewing structured scientific content.
• Detail-oriented, self-motivated, and reliable when working independently.

Aufgaben

• Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy.
• Assess the quality of ecological reasoning and proposed conservation strategies.
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts.
• Provide clear, structured feedback that improves the ecological validity of AI outputs.
• Work independently and asynchronously — on your schedule, at your pace.

Kenntnisse

Wildlife biology

Ecology

Independent work

Scientific evaluation

Ausbildung

Graduate degree in Ecology or related

Tools

AI content evaluation

Jobbeschreibung

Wildlife and Habitat Conservation Scientist (AI Training)

Your field knowledge of wildlife biology and habitat conservation is more valuable than ever — and not just in the field. We're looking for conservation scientists to help train and evaluate AI systems that reason about biodiversity, ecological health, and conservation strategy.

This is a fully remote, flexible contract role where your scientific expertise directly shapes how AI understands the natural world. No prior AI experience required.

• 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
• Assess the quality of ecological reasoning and proposed conservation strategies
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation concepts
• Provide clear, structured feedback that improves the ecological validity of AI outputs
• Work independently and asynchronously — on your schedule, at your pace

Who You Are

• 3+ years of experience in wildlife biology, ecology, habitat conservation, or a closely related field
• Strong working knowledge of biodiversity principles and ecosystem management
• Able to critically evaluate applied ecological reasoning presented in written form
• Comfortable reading and reviewing structured scientific content
• Detail-oriented, 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, or scientific annotation workflows

Why Join Us

• Meaningful impact — your expertise helps AI reason responsibly about conservation and the natural world
• Fully remote and flexible — work from anywhere, on a schedule that fits your life
• Cutting-edge work — gain direct exposure to how large language models are trained and evaluated
• Autonomy — task-based structure means you're in control of your workflow
• Global collaboration — connect with a diverse, expert community of scientists and researchers
• Ongoing opportunity — strong contributors are considered for contract extension and future projects