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- Tasks: Train AI to tackle complex environmental challenges and assess innovative solutions.
- Company: Leading tech consultancy focused on environmental sustainability.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Why this job: Make a real difference in environmental issues while working with cutting-edge technology.
- Qualifications: Masters or PhD in Environmental Engineering or related field required.
- Other info: Join a dynamic team dedicated to sustainable solutions and impactful projects.
The predicted salary is between 26 - 48 £ per hour.
A technology consultancy is seeking an Environmental Engineering - AI Data Trainer to work on developing complex environmental problems and evaluating AI-generated remediation plans. Candidates should hold a Masters or PhD in Environmental Engineering or a related field.
The position allows for flexible, remote work with competitive pay ranging from $35 to $60 per hour, requiring attention to detail and strong analytical writing skills.
Remote Environmental AI Data Trainer — Contract in Manchester employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Environmental AI Data Trainer — Contract in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental engineering field on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical writing and any projects related to AI and environmental issues. This will help us stand out when you’re applying for that remote role.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and environmental problem-solving. We recommend practising with a friend or using mock interview platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote Environmental AI Data Trainer — Contract in Manchester
Some tips for your application 🫡
Show Off Your Qualifications: Make sure to highlight your Masters or PhD in Environmental Engineering or a related field right at the start. We want to see how your academic background aligns with the role, so don’t hold back!
Tailor Your Writing: When you’re crafting your application, keep it relevant to the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for and how you fit into the picture.
Be Detail-Oriented: Since attention to detail is key for this role, make sure your application is free of typos and errors. We appreciate clarity and precision, so take the time to proofread before hitting send!
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 position. Plus, it’s super easy!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your knowledge of environmental engineering and AI applications. Be ready to discuss specific projects or research you've done that relates to the role. This shows you're not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical writing skills. You might be asked to evaluate AI-generated remediation plans, so having a few case studies or reports handy can help demonstrate your ability to critically assess complex problems.
✨Flexibility is Key
Since this is a remote position, be prepared to discuss how you manage your time and stay productive while working from home. Share any tools or strategies you use to keep organised and ensure effective communication with your team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to tackling environmental issues with AI or how they measure the success of their remediation plans. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
