Environmental Management Scientist (AI Training)

About The Role
We're looking for environmental management professionals to help train and improve the next generation of AI systems. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly shape how AI understands and communicates complex environmental topics.
This is a fully remote, flexible contract role — work on your own schedule while making a tangible impact on cutting-edge AI development.
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 approaches and real-world environmental practice
Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
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 and environmental planning processes
Able to critically assess written environmental analyses and identify weaknesses
Comfortable delivering detailed, structured written feedback
Self-motivated and reliable when working independently
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related discipline
Experience with environmental policy, regulatory frameworks, or compliance
Familiarity with AI tools or content evaluation workflows
Background in land-use planning, ecological assessment, or climate adaptation
Why Join Us
Work on cutting-edge AI projects with top research labs and AI organizations
Fully remote and flexible — work when and where it suits you
Freelance perks: autonomy, variety, and collaboration with a global community of experts
Contribute to meaningful work that helps AI better understand our planet's most pressing challenges
Potential for ongoing work and contract extension

Work arrangement
Yes