At a Glance
- Tasks: Train AI to solve advanced environmental engineering challenges and create innovative technical solutions.
- Company: Leading AI research partner based in Edinburgh with a focus on environmental engineering.
- Benefits: Competitive pay, flexible remote work, and potential for contract extension.
- Why this job: Make a real difference in environmental engineering while working with cutting-edge AI technology.
- Qualifications: Master's or PhD in a relevant field and strong analytical writing skills.
- Other info: Join a dynamic team with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research partner in Edinburgh seeks an AI Data Trainer for developing advanced environmental engineering problems. Candidates must have a Master's or PhD in a relevant field, strong analytical writing skills, and domain expertise.
Responsibilities include creating technical solutions and refining AI reasoning on complex topics.
The role offers competitive pay, flexibility, and opportunities for contract extension in a remote work environment.
Remote Environmental Engineering & AI Data Trainer employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Environmental Engineering & AI Data Trainer
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental engineering and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research common questions for AI Data Trainer roles and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant environmental engineering problems or AI solutions, make sure to have them ready to discuss. We love seeing real-world applications of your skills during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who can contribute to our mission in AI and environmental engineering.
We think you need these skills to ace Remote Environmental Engineering & AI Data Trainer
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your Master’s or PhD in your application. We want to see how your academic background aligns with the role, so don’t hold back on showcasing your relevant experience and domain knowledge!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about environmental engineering and how your skills can help us tackle complex problems. Keep it engaging and personal!
Demonstrate Your Analytical Skills: Since strong analytical writing skills are a must, include examples of your previous work that showcase your ability to analyse and present complex information clearly. We love seeing how you think!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better 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 the latest trends and challenges in environmental engineering. Familiarise yourself with AI applications in this field, as you'll want to demonstrate your domain expertise during the interview.
✨Show Off Your Writing Skills
Since strong analytical writing skills are a must, prepare to discuss your previous work or projects. Bring examples of technical documents or reports you've written that showcase your ability to communicate complex ideas clearly.
✨Prepare for Problem-Solving Questions
Expect to tackle some advanced environmental engineering problems during the interview. Practice articulating your thought process and how you would approach creating technical solutions, as this will highlight your analytical skills.
✨Emphasise Flexibility and Remote Work Experience
Since this role is remote, be ready to discuss your experience working independently and managing your time effectively. Share examples of how you've successfully collaborated with teams in a virtual environment to show you're a great fit for their flexible work culture.