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 quality of AI systems tackling some of the most important challenges of our time. 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 Contract
Location: Remote
Commitment: 10–40 hours/week What You'll Do Review AI-generated environmental management scenarios, analyses, and recommendations for accuracy and real-world applicability
Evaluate AI reasoning related to sustainability frameworks, impact mitigation, and resource planning
Identify gaps between theoretical models and on-the-ground environmental practice
Provide clear, structured feedback to improve the quality and reliability 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
Robust working knowledge of sustainability frameworks, environmental planning, and impact assessment
Ability to critically evaluate written environmental analyses and identify weaknesses or inaccuracies
Skilled at providing detailed, constructive, and well-organized feedback
Self-motivated and comfortable working independently in a remote environment
No prior AI experience required Nice to Have Master's degree in Environmental Management, Environmental Science, or a related discipline
Experience with environmental policy, regulatory frameworks, or compliance processes
Familiarity with AI tools, content evaluation, or annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs and make a real impact on how AI handles environmental topics
Fully remote and flexible — set your own hours and work from anywhere
Freelance perks: autonomy, variety, and collaboration with a global network of experts
Meaningful work that connects your environmental expertise to the future of responsible AI