Natural Resource Conservation Scientist
Natural Resource Conservation Scientist (AI Training)
About The Role
• 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 conservation science questions and scenarios used in AI training.
• Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
• Assess whether AI-generated recommendations reflect real-world conservation practices.
• Provide structured feedback to improve scientific reasoning and outputs.
• Work independently and asynchronously to meet project deadlines.
Who You Are
• 3+ years of professional experience in natural resource conservation or environmental science.
• Strong understanding of ecosystems, land management, and conservation principles.
• Able to clearly evaluate scientific reasoning and applied recommendations.
• Comfortable reviewing structured written content and providing detailed feedback.
Nice to Have
• Master’s degree or PhD in Natural Resources, Environmental Science, or related field.
• Fieldwork or applied conservation experience.
• 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.
Apply Now
Apply Now
About The Role
• 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 conservation science questions and scenarios used in AI training.
• Evaluate the scientific accuracy of content related to land use, ecosystems, soil, water, and biodiversity.
• Assess whether AI-generated recommendations reflect real-world conservation practices.
• Provide structured feedback to improve scientific reasoning and outputs.
• Work independently and asynchronously to meet project deadlines.
Who You Are
• 3+ years of professional experience in natural resource conservation or environmental science.
• Strong understanding of ecosystems, land management, and conservation principles.
• Able to clearly evaluate scientific reasoning and applied recommendations.
• Comfortable reviewing structured written content and providing detailed feedback.
Nice to Have
• Master’s degree or PhD in Natural Resources, Environmental Science, or related field.
• Fieldwork or applied conservation experience.
• 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.
Apply Now
Apply Now