Wildlife and Habitat Conservation Scientist (AI Training)
Posted Today by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Wildlife and Habitat Conservation Scientist role focuses on evaluating AI systems designed for biodiversity protection and ecosystem management. The position involves reviewing conservation scenarios, assessing ecological reasoning, and providing feedback to enhance the validity of AI training. This is a remote, task-based contract position with flexible hours. Candidates should have a strong background in wildlife biology or ecology, with a commitment of 10-40 hours per week.
Key Responsibilities:
- Review wildlife and habitat conservation scenarios used in AI training.
- Assess accuracy of ecological reasoning and conservation strategies.
- Identify unrealistic assumptions or misapplied conservation methods.
- Provide structured feedback to improve ecological validity.
- Work independently and asynchronously to meet project deadlines.
Key Skills:
- 3+ years of experience in wildlife biology, ecology, or habitat conservation.
- Strong understanding of biodiversity and ecosystem management.
- Able to evaluate applied ecological reasoning in written form.
- Comfortable reviewing structured scientific content.
- Graduate degree in Ecology, Wildlife Biology, or related field (nice to have).
- Field research or conservation program experience (nice to have).
- Familiarity with AI or content evaluation workflows (nice to have).
Salary (Rate): £55.00/hour
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
About The Role
We’re seeking wildlife and habitat conservation scientists to help evaluate AI systems trained on biodiversity protection and ecosystem management.
Organization: Alignerr (Powered by Labelbox)
Location: Remote
Type: Hourly / Task-based Contract
Compensation: $30-55 /hour
Commitment: 10-40 hours/week
What You’ll Do
- Review wildlife and habitat conservation scenarios used in AI training.
- Assess accuracy of ecological reasoning and conservation strategies.
- Identify unrealistic assumptions or misapplied conservation methods.
- Provide structured feedback to improve ecological validity.
- Work independently and asynchronously to meet project deadlines.
Who You Are
- 3+ years of experience in wildlife biology, ecology, or habitat conservation.
- Strong understanding of biodiversity and ecosystem management.
- Able to evaluate applied ecological reasoning in written form.
- Comfortable reviewing structured scientific content.
Nice to Have
- Graduate degree in Ecology, Wildlife Biology, or related field.
- Field research or conservation program experience.
- Familiarity with AI or content evaluation workflows.
Why Join Us
- Competitive pay and flexible remote work.
- Lead a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 10-15 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.