Environmental Management Scientist (AI Training)

About The Role

We're looking for environmental management professionals to play a hands-on role in shaping how AI understands sustainability, land-use planning, and environmental decision-making. Your field expertise will directly influence the quality and accuracy of next-generation AI systems — helping ensure they reflect real-world environmental practice, not just theory.

This is a flexible, fully remote contract role designed to fit around your schedule.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based 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 environmental models and on-the-ground practice
• Provide clear, structured feedback that improves the quality and reliability 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 principles, and impact assessment
• Skilled at critically evaluating written environmental analyses and identifying weaknesses
• Clear and structured communicator who can translate expert judgment into actionable feedback
• Self-motivated and comfortable working independently in a remote, async environment

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience with environmental policy, regulatory frameworks, or compliance
• 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 sustainability intelligence
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that improves how AI handles real environmental challenges
• Potential for ongoing work and contract extension