About The Role We're looking for experienced environmental management professionals to help train and improve AI systems that reason about sustainability, land-use planning, and environmental decision-making. Your real-world expertise will directly shape how AI understands and communicates complex environmental concepts — making a meaningful impact on how the next generation of AI handles the planet's most pressing challenges.
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 explicit, structured feedback to improve the accuracy, depth, and applicability of AI outputs
Work independently and asynchronously on task-based assignments that fit your schedule Who You Are 3+ years of hands-on experience in environmental management, conservation,
or a closely related field
Strong working knowledge of sustainability frameworks, environmental impact assessment, and resource planning
Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies
Comfortable delivering detailed, constructive 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 data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs shaping the future of environmental AI
Fully remote and flexible — work on your own schedule, on your terms
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that helps AI better understand and address real environmental challenges