Role Overview
Alignerr is hiring a entry-level Natural Resource Conservation Scientist. This is a contract remote role, with the team based in Remote. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Natural Resource Conservation Scientist (AI Training)
About The Role
What if your expertise in ecosystems, land management, and conservation could help shape how AI understands the natural world? We're looking for experienced natural resource conservation scientists to join a cutting-edge AI training project — evaluating and improving how AI systems reason about environmental science, conservation policy, and land stewardship.
Your real-world knowledge will directly influence the quality and accuracy of AI used by researchers, policymakers, and practitioners around the globe.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Fully Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review conservation science questions, case studies, and scenarios used in AI training datasets
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil health, water systems, and biodiversity
- Assess whether AI recommendations reflect real-world conservation practices and current scientific understanding
- Provide clear, structured feedback to improve AI reasoning, depth, and reliability
- Work independently and asynchronously — on your own schedule, at your own pace
Who You Are
- 3+ years of professional experience in natural resource conservation, environmental science, or a closely related field
- Strong working knowledge of ecosystems, land management principles, and conservation decision-making
- Able to critically evaluate scientific reasoning and applied recommendations with confidence
- Comfortable reviewing structured written content and providing detailed, actionable feedback
- Self-motivated and reliable when working independently on remote, asynchronous tasks
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related discipline
- Hands-on fieldwork or applied conservation project experience
- Familiarity with AI systems, content evaluation workflows, or data annotation platforms
Why Join Us
- Work on the frontier of AI — contribute to projects with real impact on how AI understands our natural world
- Fully remote and flexible — work from anywhere, on your own schedule
- Autonomy and variety — no two projects are exactly alike; your expertise guides the work
- Global collaboration — connect with a diverse network of subject matter experts worldwide
- Potential for ongoing work — strong contributors are considered for contract extensions and future projects
- Meaningful contribution — help ensure AI gets environmental science right, at a time when it matters most
Frequently Asked Questions
How do I apply for the Natural Resource Conservation Scientist position at Alignerr?
Use the Apply button above to submit your application directly to Alignerr. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Natural Resource Conservation Scientist role at Alignerr remote?
Yes. This is a remote role. The team is based in Remote, but the position itself does not require relocating to that office.
What does a Natural Resource Conservation Scientist at Alignerr earn?
Alignerr has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Natural Resource Conservation Scientist role at Alignerr posted?
This role was posted on May 6, 2026 (33 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Natural Resource Conservation Scientist role at Alignerr entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Alignerr has listed.
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