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 complex environmental challenges of our time. This is a fully remote, flexible contract role — work on your own schedule and contribute to cutting-edge AI development from wherever you are.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-based Contract
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 the accuracy, depth, and applicability 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
Able to critically evaluate written environmental analyses and identify where they fall short
Comfortable providing detailed, structured written feedback
Self-motivated and reliable — you can work independently and meet deadlines without close supervision
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related field
Experience with environmental policy, regulatory frameworks, or compliance
Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs and a global team
Fully remote and flexible — set your own hours and work from anywhere
Freelance perks: autonomy, variety, and meaningful work that has real impact
Contribute to AI systems that handle important real-world environmental topics