Archived position — no longer accepting applications

Wildlife And Habitat Conservation Scientist (ai Training)

Jobs (Early Career) Alignerr (Powered by Labelbox) United States Posted January 1, 2026

Position Overview

Application Deadline: Rolling

Salary: $30 – $55 per hour

Education Required: Bachelor’s degree in ecology, wildlife biology, or related field

Experience Required: Three years in conservation or ecology

Description

Alignerr, powered by Labelbox, supports the development of advanced AI systems across scientific domains. The organization works with experts to improve how AI models interpret, analyze, and communicate complex subject matter, including biodiversity and ecosystem management.

The Wildlife and Habitat Conservation Scientist evaluates AI-generated content related to conservation science. This role focuses on reviewing ecological scenarios, assessing scientific accuracy, and providing structured feedback to improve AI reasoning and outputs in biodiversity and habitat management.

Responsibilities

  • Review AI-generated conservation scenarios for scientific accuracy
  • Evaluate ecological reasoning and biodiversity recommendations
  • Identify incorrect assumptions or unsound conservation methods
  • Provide structured feedback to improve AI model outputs
  • Assess ecosystem management strategies presented in written content
  • Work independently on assigned tasks and timelines

Minimum Requirements

  • Bachelor’s degree in ecology, wildlife biology, conservation science, or related field
  • At least three years of experience in wildlife or habitat conservation
  • Strong knowledge of biodiversity and ecosystem management principles
  • Ability to critically evaluate ecological reasoning
  • Strong attention to detail and analytical skills
  • Ability to work independently and manage workload

Preferred Qualifications

  • Graduate degree in ecology, wildlife biology, or conservation science
  • Experience with field research or conservation programs
  • Familiarity with AI systems or content evaluation workflows

Additional Notes

  • Location: Remote
  • Freelance, task-based contract
  • 10 to 40 hours per week
  • Flexible work schedule

How to Apply

Submit an application through the employer’s application portal.

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