Wildlife and Habitat Conservation Scientist

Alignerr; Mumbai; Remote; INR 689,000 - 1,102,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Contract work

Global team

Job summary

Alignerr Corp. (Powered by Labelbox) seeks Wildlife and Habitat Conservation Scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management.

This is a fully remote, hourly contract role offering 10–40 hours per week, with flexible scheduling and an async, task-based workflow. You will review training data, assess ecological reasoning, and provide structured feedback to strengthen AI's conservation science content.

Qualifications

• 3+ years hands-on experience in wildlife biology, ecology, or habitat conservation.
• Strong foundational knowledge of biodiversity science and ecosystem management principles.
• Ability to critically evaluate applied ecological reasoning in written content.

Responsibilities

• Review wildlife and habitat conservation scenarios used in AI training datasets.
• Assess accuracy of ecological reasoning, biodiversity logic, and conservation strategies in AI outputs.
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles.
• Provide structured feedback to improve ecological validity of AI-generated content.
• Work independently and asynchronously on task-based assignments.

Skills

Wildlife biology

Ecology

Critical thinking

Scientific annotation

Education

Master's degree in Ecology

PhD in Environmental Science

Tools

Annotation tools

AI workflows

Data labeling

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, analyzes, and communicates about one of the most critical fields of our time — conservation science.

This is a fully remote, flexible contract role that lets you contribute meaningfully to cutting-edge AI research while working on your own schedule.

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

What You'll Do

• Review wildlife and habitat conservation scenarios used in AI training datasets
• Assess the accuracy of ecological reasoning, biodiversity logic, and conservation strategies presented by AI
• Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
• Provide clear, structured feedback to improve the ecological validity of AI-generated content
• Work independently and asynchronously to complete task-based assignments 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 science and ecosystem management principles
• Able to critically evaluate applied ecological reasoning presented in written form
• Comfortable reviewing and annotating structured scientific content
• Detail‑oriented, self‑motivated, and reliable when working independently

Nice to Have

• Graduate degree in Ecology, Wildlife Biology, Environmental Science, or a related field
• Field research experience or involvement in active conservation programs
• Familiarity with AI systems, content evaluation workflows, or scientific annotation tasks

Why Join Us

• Work on cutting-edge AI projects with top research labs and help shape the future of AI in science
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Make a meaningful impact by ensuring AI gets conservation science right
• Potential for ongoing work and contract extension