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 quality and accuracy of AI systems used by researchers, policymakers, and organizations tackling some of the planet's most pressing challenges.
This is a fully remote, flexible contract role — work on your 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 models and real-world environmental practice
- Provide clear, structured feedback to improve the accuracy and applicability of AI outputs
- Flag misleading, incomplete, or technically flawed environmental content
- Work independently and asynchronously at a pace that suits you
Who You Are
- 3+ years of hands-on experience in environmental management, conservation, or a closely related field
- Strong working knowledge of sustainability frameworks, environmental planning, and impact assessment
- Able to critically evaluate written environmental analyses with confidence and precision
- Skilled at providing detailed, structured feedback in written form
- Self-motivated and comfortable working independently on remote, task-based projects
Nice to Have
- Master's degree in Environmental Management, Environmental Science, or a related field
- Experience working with environmental policy or regulatory frameworks
- Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs shaping the future of AI
- Fully remote and flexible — work when and where you choose
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI reason responsibly about the environment
- Potential for ongoing work and contract extension
- Gain rare, firsthand exposure to advanced large language models and how they're trained