About the Role
We're looking for experienced 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 quality and accuracy of AI systems being used by researchers, planners, and organizations worldwide.
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 / Task-Based Contract
- Location: Remote
- 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 and applicability of AI outputs
- Flag misleading, incomplete, or technically unsound environmental content
- Work independently and asynchronously on task-based assignments
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 with precision and depth
- Comfortable providing detailed, actionable feedback in structured formats
- Self-motivated and reliable — able to manage your own time and meet deadlines
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 annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs and technology teams
- Fully remote and flexible — work from anywhere on your own schedule
- Freelance perks: autonomy, variety, and collaboration with a global community of experts
- Contribute to meaningful work that shapes how AI handles real-world environmental challenges
- Potential for ongoing work and contract extension