Natural Resource Conservation Scientist (AI Training)

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

Job summary

A technology company focused on AI is seeking experienced natural resource conservation scientists to evaluate and improve AI systems related to environmental science and land management. The role is remote and offers flexible hours, requiring 3+ years of relevant experience. Responsibilities include reviewing conservation science questions and evaluating scientific accuracy of content. Competitive compensation between $30-55/hour based on experience is provided, with potential for contract extension.

Benefits

Competitive pay

Flexible remote work

Autonomy and flexibility

Global collaboration

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 applied recommendations.

Responsibilities

• 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.

Skills

Natural resource conservation

Environmental science

Scientific evaluation

Structured feedback

Education

Master's degree or PhD in relevant 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.