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- Tasks: Evaluate and improve AI systems in natural resource conservation and environmental science.
- Company: Join Alignerr, a forward-thinking company focused on innovative AI projects.
- Benefits: Earn $30-55/hour with flexible remote work and potential for contract extension.
- Why this job: Make a real impact on AI training while working on cutting-edge conservation projects.
- Qualifications: 3+ years in natural resource conservation or environmental science; strong evaluation skills.
- Other info: Enjoy autonomy, flexibility, and global collaboration in a dynamic freelance environment.
The predicted salary is between 25 - 44 £ per hour.
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.
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
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Natural Resource Conservation Scientist (AI Training) employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Natural Resource Conservation Scientist (AI Training)
✨Tip Number 1
Network like a pro! Reach out to fellow conservation scientists or professionals in the field. Join online forums or LinkedIn groups where you can share insights and learn about job openings. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your work in natural resource conservation. Include case studies, projects, or any relevant research. This will help you stand out when applying through our website and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on AI and its applications in conservation. Be ready to discuss how your experience aligns with the role. We want to see your passion for the environment and how you can contribute to improving AI systems in this field.
✨Tip Number 4
Don’t forget to follow up! After an interview or networking event, send a quick thank-you note. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to reiterate your interest in the position and remind them why you’re the perfect fit!
We think you need these skills to ace Natural Resource Conservation Scientist (AI Training)
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in natural resource conservation and environmental science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about conservation and how your background makes you a perfect fit for this role. We love seeing genuine enthusiasm and a clear connection to our mission.
Showcase Your Expertise: When filling out your application, be specific about your experience with ecosystems, land management, and conservation principles. We’re looking for candidates who can evaluate scientific reasoning, so don’t hold back on sharing your insights!
Apply Through Our Website: To make sure your application gets into our hands quickly, apply directly through our website. It’s a straightforward process that takes just 10-15 minutes, and we review applications daily, so you won’t be waiting long!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your knowledge of ecosystems, land management, and conservation principles. The role requires a solid understanding of these areas, so be prepared to discuss specific examples from your experience that demonstrate your expertise.
✨Showcase Your Evaluation Skills
Since the job involves evaluating AI-generated recommendations, think about how you can articulate your process for assessing scientific accuracy. Prepare to share instances where you've provided structured feedback in previous roles, as this will highlight your ability to improve scientific reasoning.
✨Familiarise Yourself with AI Concepts
Even if you're not an AI expert, having a basic understanding of how AI systems work and their application in environmental science will give you an edge. Consider discussing any relevant experiences you have with AI or content evaluation workflows during the interview.
✨Be Ready for Remote Work Dynamics
As this is a remote position, be prepared to talk about your experience working independently and managing your time effectively. Share strategies you use to meet deadlines while working asynchronously, as this will show that you're a self-starter who can thrive in a flexible environment.
