Environmental Management Scientist (AI Training)

Alignerr Corp.; Denver (CO); Remote; USD 55.000 - 83.000; Teilzeit

Zusammenfassung

Alignerr is seeking experienced environmental management professionals for a fully remote, hourly contract role. You will review AI-generated environmental analyses, assess sustainability reasoning, and provide structured feedback while working independently on a flexible schedule.

Ideal candidates have 3+ years in environmental management, strong knowledge of sustainability frameworks, and experience with AI-content evaluation workflows.

Qualifikationen

• 3+ years of hands-on experience in environmental management or a closely related field.
• Strong knowledge of sustainability frameworks and environmental planning principles.
• Ability to critically evaluate written environmental analyses with a practical lens.
• Skilled at delivering detailed, structured written feedback.
• Self-motivated and comfortable working independently in a remote setting.

Aufgaben

• 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.
• Work independently and asynchronously to complete task-based assignments on your schedule.

Kenntnisse

Environmental management

Sustainability frameworks

Environmental planning

Written feedback

Remote collaboration

Ausbildung

Master's degree in Environmental Management

Relevant certification

Tools

AI annotation platforms

Jobbeschreibung

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 how the next generation of AI models reasons about some of the planet’s most pressing challenges.

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 how the next generation of AI models reasons about 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, 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
• Work independently and asynchronously to complete task-based assignments on your schedule

Who You Are

• 3+ years of hands‑on experience in environmental management, conservation, or a closely related field
• Strong working knowledge of sustainability frameworks and environmental planning principles
• Able to critically evaluate written environmental analyses with a practical lens
• Skilled at delivering detailed, structured written feedback
• Self‑motivated and comfortable working independently in a remote setting

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related discipline
• Experience navigating environmental policy or regulatory frameworks
• Prior exposure to AI tools, content evaluation workflows, or data annotation platforms

Why Join Us

• Work on cutting‑edge AI projects with top research labs and leading AI organizations
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and collaboration with a global community of experts
• Contribute to meaningful work that helps AI better understand and support environmental sustainability
• Potential for ongoing work and contract extension