Natural Resource Conservation Scientist
AI Training
Location
Remote, New York, United States
Work type
Remote
Employment
Freelance
Experience
3-8 years
Compensation
$30 - $55 per hour
Posted
2w ago
Summary and responsibilities
Role overview
Summary
This role involves evaluating and improving AI systems trained on environmental science, land management, and conservation decision-making. Experts will review conservation science questions, assess the scientific accuracy of AI-generated content, and provide feedback to enhance AI outputs related to ecosystems, land use, and biodiversity.
AI is rapidly expanding into environmental science — and it needs experts like you to get it right. We're looking for experienced natural resource conservation scientists to evaluate and improve AI systems trained on environmental science, land management, and conservation decision-making.
Your field knowledge will directly shape how AI understands ecosystems, interprets conservation data, and recommends land management strategies. This is a unique opportunity to influence cutting-edge AI development while working fully remotely 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 conservation science questions and real-world scenarios used in AI training datasets
Evaluate the scientific accuracy of AI-generated content related to land use, ecosystems, soil health, water systems, and biodiversity
Assess whether AI-generated recommendations reflect sound, real-world conservation practices
Provide clear, structured feedback to improve scientific reasoning and AI outputs
Work independently and asynchronously to complete task-based assignments on your schedule
Who You Are
3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
Strong working knowledge of ecosystems, land management principles, and conservation practices
Able to critically evaluate scientific reasoning and applied conservation recommendations
Comfortable reviewing structured written content and delivering detailed, actionable feedback
Self-motivated and reliable when working independently
Nice to Have
Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline
Hands-on fieldwork or applied conservation experience
Familiarity with AI systems, content evaluation workflows, or scientific writing
Why Join Us
Work on cutting-edge AI projects with real environmental impact
Fully remote and flexible — complete work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to AI that gets environmental science right
Potential for ongoing work and contract extension
Updated 2w ago
Candidate fit
Skills and qualifications
Additional skills
Experience
3-8 years
How this role is positioned
Role classification
Job domains
Industries
Employment
Freelance
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
$30 - $55 per hour
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
Alignerr
Team size
Growing team
Location
Remote, New York, United States
Alignerr (Powered by Labelbox) is an organization that focuses on improving AI systems trained on environmental science, land management, and conservation decision-making.
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Natural Resource Conservation Scientist
Remote, New York, United States • Freelance