At a Glance
- Tasks: Design complex environmental challenges and audit AI outputs for accuracy.
- Company: Join a leading AI research partner focused on environmental engineering.
- Benefits: Fully remote, flexible hours, and freelance perks like autonomy and global collaboration.
- Other info: Gain unique insights into AI training and potential for ongoing work.
- Why this job: Shape the future of AI while tackling real-world environmental issues.
- Qualifications: Master’s or PhD in Environmental Engineering or related field; strong analytical writing skills.
The predicted salary is between 25 - 35 £ per hour.
We’re partnering with the world’s leading AI research labs to build smarter, more accurate AI models — and we need environmental engineering experts to make it happen. Your deep domain knowledge will directly shape how AI understands and reasons through complex environmental challenges, from contaminant transport to regulatory compliance. This is a rare opportunity to sit at the intersection of environmental science and cutting‑edge AI — working remotely on your own schedule while leaving a lasting impact on how next‑generation models think.
About The Role
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You’ll Do
- Design Complex Problems: Craft advanced environmental engineering challenges across domains including contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA).
- Author Ground‑Truth Solutions: Develop rigorous, step‑by‑step technical solutions — chemical dosage calculations, hydraulic flow models, pollutant dispersion simulations — that serve as gold‑standard reference answers.
- Audit AI Outputs: Critically evaluate AI‑generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and regulatory adherence (EPA, ISO 14001, and more).
- Improve AI Reasoning: Identify logical failures in AI responses — such as incorrect stoichiometry in biological processes or overlooked secondary environmental impacts — and provide structured feedback that sharpens model thinking.
Who You Are
- Advanced Degree: Master’s (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related field.
- Domain Expertise: Strong foundational knowledge in aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
- Strong Analytical Writer: Able to explain complex ecological and engineering concepts clearly and precisely in written form.
- Detail‑Oriented: High precision when checking unit conversions, chemical equations, and regulatory compliance logic.
- No prior AI experience required — if you know environmental engineering, we’ll handle the rest.
Nice to Have
- Prior experience with data annotation, data quality, or evaluation systems.
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim).
- Experience with EHS compliance frameworks or environmental impact assessment.
Why Join Us
- Work on genuinely cutting‑edge AI projects alongside top research teams.
- Fully remote and flexible — work when and where it suits you.
- Freelance perks: autonomy, variety, and global collaboration.
- Gain rare, firsthand exposure to how large language models are trained and evaluated.
- Potential for ongoing work and contract extension.
Environmental Engineering - AI Data Trainer in Edinburgh employer: Alignerr Corp.
Alignerr is an exceptional employer for environmental engineering experts, offering the unique opportunity to work remotely on groundbreaking AI projects that directly influence the future of environmental science. With a flexible schedule and the chance to collaborate with leading research teams, employees enjoy autonomy and variety in their work while contributing to meaningful advancements in AI technology. The company fosters a culture of innovation and growth, providing valuable exposure to cutting-edge developments in AI and environmental modeling.
StudySmarter Expert Advice🤫
We think this is how you could land Environmental Engineering - AI Data Trainer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the environmental engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can introduce you to someone at Alignerr.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your work in environmental engineering, especially any projects related to AI or data training. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common questions related to environmental challenges and AI. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Alignerr and contributing to cutting-edge AI projects.
We think you need these skills to ace Environmental Engineering - AI Data Trainer in Edinburgh
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your advanced degree and any relevant experience in environmental engineering. We want to see how your knowledge can shape AI's understanding of complex environmental challenges.
Be Clear and Precise:As a strong analytical writer, it's crucial to explain complex concepts clearly. Use straightforward language and avoid jargon where possible. We appreciate clarity just as much as you do!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the role. We love seeing how you connect your background to what we’re doing at StudySmarter.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Alignerr Corp.
✨Know Your Stuff
Make sure you brush up on your environmental engineering knowledge, especially in areas like contaminant transport and regulatory compliance. Be ready to discuss specific challenges you've faced and how you tackled them, as this will show your deep domain expertise.
✨Showcase Your Writing Skills
Since strong analytical writing is key for this role, prepare to demonstrate your ability to explain complex concepts clearly. Bring examples of your previous work or write a brief explanation of a technical topic to share during the interview.
✨Familiarise with AI Concepts
Even if you don’t have prior AI experience, it’s helpful to understand the basics of how AI models work. Research how AI can be applied in environmental engineering and think about how your expertise can improve AI reasoning in this field.
✨Prepare Questions
Have a few thoughtful questions ready about the role and the projects you'll be working on. This shows your genuine interest and helps you assess if the company aligns with your career goals. Ask about their approach to auditing AI outputs or how they handle regulatory compliance.
