About The Role We're looking for experienced environmental management professionals to help shape the next generation of AI systems. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates complex environmental topics — making a meaningful impact on how these systems serve researchers, policymakers, and practitioners worldwide.
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 models and real-world 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, environmental planning, and impact assessment
Able to critically evaluate written environmental analyses and spot where reasoning falls short
Comfortable providing 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 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
Fully remote and versatile — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that improves how AI handles real-world environmental challenges