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 tackling some of the planet's most pressing challenges. 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 and analyses
Assess the quality of AI reasoning related to sustainability, impact mitigation, and resource planning
Identify gaps between theoretical frameworks and real-world environmental practice
Provide clear, structured feedback to improve AI accuracy and applicability
Work independently and asynchronously to meet project milestones
Who You Are
3+ years of hands-on experience in environmental management, conservation, or a related field
Strong command of sustainability frameworks, environmental planning, and impact assessment
Able to critically evaluate written environmental analyses with precision
Comfortable delivering detailed, structured feedback in written form
Self-motivated and reliable in a remote, asynchronous work environment
Nice to Have
Master's degree in Environmental Management, Environmental Science, or a related discipline
Experience with environmental policy, regulation, or compliance frameworks
Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
Work on cutting-edge AI projects with top research labs
Fully remote and flexible — design your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that helps AI better understand environmental challenges
Exposure to advanced large language models (LLMs) and how they are trained