Environmental Management Scientist (AI Training)
About the role
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
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Environmental Management Scientist (AI Training)
About the role
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