Remote Environmental Management Scientist for AI Training

Alignerr Corp.; Denver (CO); On-site; USD 14,000 - 55,000; Part time

Benefits offered by this job

Freelance autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr Corp. is seeking experienced environmental management professionals for remote, hourly, contract work. You will review AI-generated environmental analyses, assess sustainability reasoning, and provide structured feedback to improve model accuracy.

The role offers 10–40 hours per week, with flexible scheduling and independence in a global, remote collaboration environment. Prior experience in environmental management and policy is valued.

Qualifications

• 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.
• Ability to critically evaluate written environmental analyses with a practical lens.
• Skilled at delivering detailed, structured written feedback.

Responsibilities

• 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.

Skills

Environmental management

Sustainability frameworks

Written feedback

Education

Master's degree in Environmental Management

Tools

AI tools

Job description

Alignerr Corp. is seeking experienced environmental management professionals for remote, hourly, contract work. You will review AI-generated environmental analyses, assess sustainability reasoning, and provide structured feedback to improve model accuracy.

The role offers 10–40 hours per week, with flexible scheduling and independence in a global, remote collaboration environment. Prior experience in environmental management and policy is valued.