Environmental Management Scientist (AI Training)

About The Role
Your expertise in environmental management could help shape how the next generation of AI understands our planet. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.
This is a fully remote, flexible contract role where your real-world knowledge directly influences AI quality — bridging the gap between textbook theory and on-the-ground environmental practice.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Review and evaluate AI-generated environmental management scenarios, analyses, and recommendations
Assess the quality of AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
Identify gaps between theoretical environmental approaches and real-world practice
Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
Flag misleading, incomplete, or technically unsound environmental content
Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
3+ years of hands-on experience in environmental management, conservation, or a related field
Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
Able to critically evaluate written environmental analyses and identify both technical and practical shortcomings
Comfortable providing detailed, structured written feedback
Self-motivated, reliable, and able to work independently without close supervision
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related discipline
Experience with environmental policy, regulatory compliance, or permitting frameworks
Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs and help shape how AI understands the natural world
Fully remote and flexible — complete tasks on your own schedule, from anywhere
Freelance perks: autonomy, variety, and collaboration with a global network of subject-matter experts
Contribute to meaningful work that improves AI's ability to reason about real environmental challenges
Potential for ongoing work and contract extension as projects grow

Work arrangement
Yes