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Environmental Management Scientist (AI Training)

Alignerr
Department:Data Analysis
Type:REMOTE
Region:Denver, CO
Location:Denver, CO
Experience:Mid-Senior level
Salary:$62,400 - $114,400
Skills:
ENVIRONMENTAL MANAGEMENTSUSTAINABILITYLAND-USE PLANNINGENVIRONMENTAL DECISION-MAKINGIMPACT MITIGATIONRESOURCE PLANNINGENVIRONMENTAL POLICYREGULATORY FRAMEWORKSAI TRAININGCONTENT EVALUATION
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Job Description

Posted on: March 22, 2026

About The Role We’re looking for environmental management professionals to help improve AI systems trained on sustainability, land-use planning, and environmental decision-making.

  • Organization: Alignerr (Powered by Labelbox)
  • Location: Remote
  • Type: Hourly / Task-based Contract
  • Compensation: $30-55 /hour
  • Commitment: 10-40 hours/week

What You’ll Do

  • Review environmental management scenarios and analyses used in AI training.
  • Evaluate reasoning related to sustainability, impact mitigation, and resource planning.
  • Identify gaps between theory and real-world environmental practice.
  • Provide structured feedback to improve clarity and applicability.
  • Work independently and asynchronously to meet project deadlines.

Who You Are

  • 3+ years of experience in environmental management or conservation roles.
  • Strong understanding of sustainability frameworks and environmental planning.
  • Able to critically assess written environmental analyses.
  • Comfortable providing detailed, structured feedback.

Nice to Have

  • Master’s degree in Environmental Management or related field.
  • Experience with environmental policy or regulatory frameworks.
  • Familiarity with AI or content evaluation workflows.

Why Join Us

  • Competitive pay and flexible remote work.
  • Lead a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 10-15 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on LinkedIn

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