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- Tasks: Design complex engineering challenges and evaluate AI-generated code for accuracy.
- Company: Leading AI research partner with a focus on innovation.
- Benefits: Flexible remote work, competitive pay, and global collaboration opportunities.
- Why this job: Join a dynamic team and tackle exciting engineering problems in AI.
- Qualifications: Advanced degree in Computer Engineering or Computer Science; strong analytical writing skills.
- Other info: No prior AI experience required; perfect for tech enthusiasts ready to make an impact.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research partner is seeking individuals with advanced degrees in Computer Engineering or Computer Science to design complex engineering challenges. This remote role involves creating rigorous technical solutions and evaluating AI-generated code for accuracy. Ideal candidates have strong foundations in core computer science areas and excellent analytical writing skills, though prior AI experience is not required. Join a flexible environment with competitive pay and global collaboration opportunities.
Remote AI Data Trainer: Computer Architecture & Systems in Oxford employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Data Trainer: Computer Architecture & Systems in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and computer science fields on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer architecture and systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AI and computer science. Practice explaining complex concepts in simple terms, as communication is key in remote roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new openings.
We think you need these skills to ace Remote AI Data Trainer: Computer Architecture & Systems in Oxford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced degree in Computer Engineering or Computer Science. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical expertise!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate excellent analytical writing skills, so make sure your ideas are well-structured and easy to follow. Clarity is key!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your responses to the specific challenges mentioned in the job description. We love seeing candidates who understand what we’re looking for.
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’re considered for this exciting opportunity. Let’s get started!
How to prepare for a job interview at Alignerr
✨Know Your Stuff
Make sure you brush up on your computer architecture and systems knowledge. Be ready to discuss complex engineering challenges you've tackled in the past, even if they weren't AI-related. This shows your analytical skills and ability to think critically.
✨Showcase Your Writing Skills
Since excellent analytical writing is key for this role, prepare to demonstrate your writing abilities. Bring along examples of technical documents or reports you've written, and be ready to explain your thought process behind them.
✨Familiarise Yourself with AI Concepts
Even though prior AI experience isn't required, having a basic understanding of AI principles can set you apart. Read up on how AI evaluates code and be prepared to discuss how you would approach evaluating AI-generated solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and their approach to AI. This not only shows your interest but also helps you gauge if the company culture aligns with your values, especially in a flexible remote environment.
