At a Glance
- Tasks: Review and improve AI content on conservation science for accuracy and relevance.
- Company: Join Alignerr, a leader in AI training for environmental science.
- Benefits: Enjoy flexible hours, remote work, and the chance to shape AI's understanding of nature.
- Other info: Collaborate with global experts and enjoy freelance perks in a dynamic environment.
- Why this job: Make a real impact on AI while working on projects that matter to our planet.
- Qualifications: 3+ years in conservation or environmental science; strong analytical skills required.
The predicted salary is between 25 - 35 £ per hour.
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 evaluate and improve AI systems trained on environmental science content — ensuring these powerful tools reflect accurate, real‑world conservation knowledge. This is a fully remote, flexible contract role where your scientific judgment directly influences the quality of next‑generation AI.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly / Task-Based Contract
Location: Remote
Commitment: 10–40 hours/week
What You’ll Do
- Review conservation science questions, scenarios, and AI-generated content for scientific accuracy
- Evaluate AI outputs related to land use, ecosystems, soil health, water systems, and biodiversity
- Assess whether AI-generated conservation recommendations reflect sound, real‑world practices
- Identify gaps, errors, or misleading reasoning in AI-generated environmental science content
- Provide structured, detailed feedback to improve AI scientific reasoning and outputs
- Work independently and asynchronously to complete task-based assignments on your 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 applied recommendations with clarity
- Comfortable reviewing structured written content and providing thorough, constructive feedback
- Self‑motivated and reliable when working independently in a remote environment
Nice to Have
- Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related field
- Hands‑on fieldwork or applied conservation experience
- Familiarity with AI systems, content evaluation, or annotation workflows
Why Join Us
- Work on cutting‑edge AI projects with real‑world environmental impact
- Fully remote and flexible — complete tasks on your own schedule
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Contribute to work that shapes how AI reasons about conservation and the natural world
- Potential for ongoing work and contract extension
Remote Conservation Scientist - AI Content Reviewer in Manchester employer: Alignerr
Alignerr offers a unique opportunity for conservation scientists to engage in meaningful work that directly influences the development of AI systems in environmental science. With a fully remote and flexible contract role, employees enjoy the autonomy to manage their schedules while collaborating with a global community of experts. The company fosters a culture of innovation and growth, providing opportunities for ongoing work and the chance to contribute to impactful projects that shape the future of conservation.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Conservation Scientist - AI Content Reviewer 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, research, or any relevant work. This will help potential employers see your skills in action and understand how you can contribute to their AI initiatives.
✨Tip Number 3
Prepare for interviews by brushing up on both conservation science and AI concepts. Be ready to discuss how your experience aligns with the role and how you can help improve AI outputs in environmental science.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles that match your skills. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Conservation Scientist - AI Content Reviewer in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in natural resource conservation and land management. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant expertise!
Showcase Your Scientific Judgement:In your written application, emphasise your ability to critically evaluate scientific reasoning. We’re looking for candidates who can provide structured feedback, so include examples of how you've done this in past roles.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and gets straight to the point.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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. Be ready to discuss specific examples from your experience that showcase your expertise in these areas.
✨Understand AI's Role
Familiarise yourself with how AI systems work, especially in relation to environmental science. Being able to articulate how your scientific judgement can improve AI outputs will set you apart from other candidates.
✨Prepare for Scenario Questions
Expect to be asked about evaluating AI-generated content. Think through potential scenarios where you might identify gaps or errors in AI reasoning, and prepare structured feedback you could provide.
✨Show Your Independence
Since this role is remote and task-based, highlight your ability to work independently. Share examples of how you've successfully managed your time and completed projects without direct supervision.
