Environmental Management Scientist (AI Training)

About The Role
We're looking for environmental management professionals to help shape how AI understands sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly influence the accuracy and reliability of next-generation AI systems — making a meaningful impact far beyond the field.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
Location: Fully 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 reasoning related to sustainability frameworks, impact mitigation, and resource planning
Identify gaps between theoretical models and real-world environmental practice
Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
Work independently and asynchronously 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 principles
Able to critically evaluate written environmental analyses with a practical lens
Skilled at providing detailed, structured, and constructive written feedback
Self-motivated and comfortable managing your own workload remotely
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related discipline
Familiarity with environmental policy, regulatory frameworks, or compliance processes
Prior experience with AI content evaluation, annotation, or quality review workflows
Why Join Us
Work on cutting-edge AI projects with top research labs and tech organizations
Fully remote and flexible — work on your own schedule, from anywhere
Freelance perks: autonomy, variety, and global collaboration
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