Forestry and Land Management Scientist (AI Training)
Location
Delhi, Delhi, India
Work type
Remote
Employment
Contract
Experience
3+ years
Compensation
$30 - $55 per hour
Posted
2d ago
Summary and responsibilities
Role overview
Summary
This role involves evaluating and improving AI systems focused on sustainable forestry and land-use practices. Responsibilities include reviewing AI training datasets, assessing content accuracy related to forest health and sustainability, and identifying errors in management recommendations. The scientist will provide structured feedback to enhance AI-generated reasoning and work independently on a flexible schedule.
About The Role
We're looking for experienced forestry and land management scientists to help evaluate and improve AI systems trained on sustainable forestry and land-use practices. Your field expertise will directly shape how AI understands forest ecosystems, management strategies, and environmental decision-making — making a real impact on how these critical topics 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 forestry and land management scenarios used in AI training datasets
Assess the accuracy of AI-generated content related to forest health, land use, and sustainability practices
Identify factual errors, oversimplifications, or flawed reasoning in management recommendations
Provide clear, structured feedback to improve the quality of AI-generated applied reasoning
Work independently and asynchronously on your own schedule
Who You Are
3+ years of hands-on experience in forestry, land management, or a related field
Strong understanding of forest ecosystems, silviculture, and land management principles
Able to critically evaluate applied environmental and resource management decision-making
Comfortable reviewing and assessing written technical content with precision
Self-motivated, reliable, and able to meet deadlines without close supervision
No prior AI experience required
Nice to Have
Degree in Forestry, Natural Resources, Environmental Science, or a related discipline
Experience with land-use planning, conservation programs, or regulatory compliance
Familiarity with AI systems or content evaluation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs shaping the future of AI
Fully remote and flexible — work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and meaningful work with real-world impact
Contribute to ensuring AI gets environmental science right — for researchers, practitioners, and policymakers who rely on it
Potential for ongoing work and contract extension
Updated 2d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
3+ years
How this role is positioned
Role classification
Job domains
Industries
Employment
Contract
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
Delhi, Delhi, India
Alignerr (Powered by Labelbox) is seeking experienced forestry and land management scientists to evaluate and improve AI systems trained on sustainable forestry and land-use practices. This role involves shaping how AI understands forest ecosystems, management strategies, and environmental decision-making.
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Forestry and Land Management Scientist (AI Training)
Delhi, Delhi, India • Contract