At a Glance
- Tasks: Review AI-generated conservation scenarios and provide structured feedback for improvement.
- Company: Join Alignerr, a leader in AI-driven biodiversity protection.
- Benefits: Fully remote work, flexible hours, and opportunities for ongoing contracts.
- Other info: Enjoy autonomy and collaboration with a global community of experts.
- Why this job: Make a real-world impact on conservation science while working on cutting-edge AI projects.
- Qualifications: 3+ years in wildlife biology or ecology; strong knowledge of biodiversity principles.
The predicted salary is between 25 - 35 £ per hour.
We're looking for wildlife and habitat conservation scientists to help evaluate and improve AI systems trained on biodiversity protection and ecosystem management. Your field expertise will directly shape how AI understands, reasons about, and communicates conservation science — making a real-world impact from your own schedule.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Review AI-generated wildlife and habitat conservation scenarios for scientific accuracy
- Assess the quality of ecological reasoning and proposed conservation strategies
- Identify unrealistic assumptions, flawed methodologies, or misapplied conservation principles
- Provide clear, structured feedback to improve the ecological validity of AI outputs
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of hands-on experience in wildlife biology, ecology, or habitat conservation
- Strong working knowledge of biodiversity and ecosystem management principles
- Able to critically evaluate applied ecological reasoning presented in written form
- Comfortable reviewing and annotating structured scientific content
- Detail-oriented, self-motivated, and reliable
Nice to Have
- Graduate degree in Ecology, Wildlife Biology, or a related field
- Experience in field research or conservation program management
- Familiarity with AI systems or content evaluation workflows
Why Join Us
- Work on cutting-edge AI projects shaping how the world's most advanced models understand conservation science
- Fully remote and flexible — work on your own schedule, wherever you are
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Contribute to meaningful work that improves how AI handles critical environmental topics
- Potential for ongoing work and contract extension
Remote AI Ecology Reviewer: Biodiversity & Conservation in Manchester employer: Alignerr
Alignerr offers an exceptional opportunity for wildlife and habitat conservation scientists to engage in meaningful work that directly influences AI systems dedicated to biodiversity protection. With a fully remote and flexible work environment, you can tailor your schedule to fit your lifestyle while collaborating with a global community of experts. The company fosters a culture of autonomy and innovation, providing avenues for professional growth and the chance to contribute to impactful conservation efforts.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Ecology Reviewer: Biodiversity & Conservation in Manchester
✨Tip Number 1
Network like a pro! Reach out to fellow conservationists and AI enthusiasts on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and discover hidden job opportunities.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your past projects in wildlife biology or ecology. This can be a game-changer when it comes to impressing potential employers and demonstrating your skills.
✨Tip Number 3
Prepare for interviews by brushing up on AI systems and their applications in conservation. Be ready to discuss how your experience aligns with the role and how you can contribute to improving AI outputs in biodiversity protection.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in our mission. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Remote AI Ecology Reviewer: Biodiversity & Conservation in Manchester
Some tips for your application 🫡
Show Your Passion for Conservation:When writing your application, let your love for wildlife and habitat conservation shine through. Share specific experiences that highlight your commitment to biodiversity and how you've made an impact in the field.
Be Clear and Concise:We appreciate straightforward communication! Make sure your application is well-structured and easy to read. Avoid jargon unless it's necessary, and get straight to the point about your skills and experiences.
Tailor Your Application:Don’t just send a generic application. Take the time to align your skills and experiences with the job description. Highlight your relevant expertise in ecological reasoning and AI systems to show us you’re the perfect fit.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your knowledge of biodiversity and ecosystem management principles. Be ready to discuss specific examples from your experience that demonstrate your expertise in wildlife biology or habitat conservation.
✨Prepare for Scenario Reviews
Since you'll be reviewing AI-generated scenarios, think about how you would assess their scientific accuracy. Prepare to explain your thought process on identifying unrealistic assumptions or flawed methodologies during the interview.
✨Showcase Your Feedback Skills
Be ready to talk about how you provide structured feedback. Think of past experiences where your feedback led to improvements in conservation strategies or ecological reasoning, and share those stories.
✨Emphasise Flexibility and Independence
Highlight your ability to work independently and manage your own schedule. Share examples of how you've successfully worked remotely or asynchronously in the past, as this role requires self-motivation and reliability.
