About The Role We're looking for experienced environmental management professionals to help shape the next generation of AI. Your real-world expertise in sustainability, land-use planning, and environmental decision-making will directly influence how AI understands and communicates complex environmental concepts. This is a fully remote, flexible contract role — work on your own schedule while contributing to 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 environmental models and real-world practice
Provide clear, structured feedback to improve AI accuracy, clarity, and applicability
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 closely related field
Strong working knowledge of sustainability frameworks and environmental planning methodologies
Able to critically evaluate written environmental analyses and identify weaknesses or inaccuracies
Skilled at providing detailed, actionable, and well-organized written feedback
Self-motivated and comfortable working independently in a remote setting 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 that are shaping how technology understands the natural world
Fully remote and adaptable — work when and where it suits you
Freelance perks: autonomy, variety, and collaboration with a global network of experts
Make a meaningful impact by ensuring AI gets environmental science right