Natural Resource Conservation Scientist
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$42.5/task
Posted
0d ago
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About this Role
What You'll Do
- Review conservation science questions, scenarios, and case studies used in AI training datasets
- Evaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil science, hydrology, and biodiversity
- Assess whether AI recommendations reflect real-world conservation best practices and land management standards
- Identify errors, gaps, or misleading reasoning in AI-generated environmental science outputs
- Provide clear, structured feedback to improve AI scientific reasoning and response quality
- Work independently and asynchronously to complete task-based assignments on your schedule
About the Role
We're looking for experienced natural resource conservation scientists to help shape the next generation of AI. Your scientific expertise will directly influence how AI systems understand, reason about, and communicate environmental science — from ecosystem management to biodiversity conservation. This is a fully remote, flexible contract opportunity where your real-world knowledge makes a measurable difference in AI quality.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible hours, work on your own schedule
Who You Are
- 3+ years of professional experience in natural resource conservation, land management, or environmental science
- Strong foundational knowledge of ecosystems, conservation principles, and applied land management
- Able to critically evaluate scientific reasoning and identify flawed or impractical recommendations
- Comfortable reading and providing detailed written feedback on structured content
- Self-motivated and reliable — you can manage your own workflow without close supervision
- No prior AI experience required
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
- Hands-on fieldwork or applied conservation project experience
- Familiarity with conservation policy frameworks, land management regulations, or ecosystem restoration
- Prior experience with content review, technical writing, or evaluation workflows
Why Join Us
- Work on cutting-edge AI projects with leading research labs
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global network of experts
- Contribute to meaningful work that improves how AI handles critical environmental topics
- Potential for ongoing work and contract extension
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Compensation Analysis
We're looking for experienced natural resource conservation scientists to help shape the next generation of AI. Your scientific expertise will directly influence how AI systems understand, reason about, and communicate environmental science — from ecosystem management to biodiversity conservation. This is a fully remote, flexible contract opportuni
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.