Environmental Management Scientist (AI Training)

Alignerr; Brasil; Remoto; BRL 83.000 - 165.000; Part-time

Vantaggi offerti da questo lavoro

Autonomy

Variety

Global collaboration

Descrizione del lavoro

Alignerr is seeking experienced environmental professionals to evaluate AI systems trained on sustainability and environmental decision-making. This fully remote, hourly contract role offers 10–40 hours per week, allowing you to impact AI quality on your own schedule.

Ideal candidates have 3+ years in environmental management, strong knowledge of sustainability frameworks, and the ability to provide structured written feedback. Master's degree is a plus. Remote and freelance perks are available.

Competenze

• 3+ years of hands-on experience in environmental management or related field.
• Strong working knowledge of sustainability frameworks and environmental planning processes.
• Ability to critically assess written environmental analyses and identify weaknesses.
• Comfortable providing detailed, structured written feedback.
• Self-motivated and reliable with ability to meet deadlines independently.

Mansioni

• 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 accuracy and applicability of AI outputs.
• Work independently and asynchronously on your own schedule.

Conoscenze

Environmental management

Sustainability frameworks

Critical analysis

Written feedback

Self-motivation

Formazione

Master's degree in Environmental Management or related field

Descrizione del lavoro

About The Role

Your expertise in environmental management could help shape how AI understands one of the most critical fields of our time. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.

About The Role

Your expertise in environmental management could help shape how AI understands one of the most critical fields of our time. We're looking for experienced environmental professionals to evaluate and improve AI systems trained on sustainability, land-use planning, and environmental decision-making.

This is a fully remote, flexible contract role where your real-world knowledge directly improves the quality and reliability of cutting-edge AI models.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly 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
• Work independently and asynchronously 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 and environmental planning processes
• Able to critically assess written environmental analyses and identify weaknesses
• Comfortable providing detailed, structured written feedback
• Self-motivated and reliable - able to meet project deadlines independently

Nice to Have

• Master's degree in Environmental Management, Environmental Science, or a related field
• Experience with environmental policy, regulatory compliance, or permitting frameworks
• Prior exposure to AI tools, content evaluation, or quality assurance workflows

Why Join Us

• Work on cutting-edge AI projects with leading research organizations
• Fully remote and flexible - work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that helps AI better understand environmental challenges
• Potential for ongoing work and contract extension