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 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
• Strong 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
• Potential for ongoing work and contract extension