Natural Resource Conservation Scientist (AI Training)

Alignerr; Remote; ZAR 200 000 - 300 000; Full time

Job summary

A leading environmental consultancy is seeking experienced natural resource conservation scientists to evaluate and improve AI systems focused on environmental science, land management, and conservation decisions. The ideal candidate will have over three years of experience, a strong understanding of ecosystems, and the ability to review scientific content critically. The role offers competitive hourly pay and the flexibility of remote work, with opportunities for professional growth and contract extension.

Benefits

Competitive pay

Flexible remote work

Freelance perks: autonomy and flexibility

Qualifications

• 3+ years of professional experience in natural resource conservation or environmental science.
• Strong understanding of ecosystems, land management, and conservation principles.
• Ability to evaluate scientific reasoning and provide detailed feedback.

Responsibilities

• Review conservation science questions used in AI training.
• Evaluate scientific accuracy of content related to land use and biodiversity.
• Assess AI-generated recommendations reflecting real-world conservation practices.

Skills

Natural resource conservation

Ecosystem evaluation

Scientific reasoning

Content evaluation

Education

Master's degree or PhD in Natural Resources or related field

Job description

About The Role

We’re looking for experienced natural resource conservation scientists to help evaluate and improve AI systems trained on environmental science, land management, and conservation 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 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.