At a Glance
- Tasks: Contribute to high-quality training data for cutting-edge AI systems with a talented team.
- Company: Join Obsidian, a leader in AI research and innovation.
- Benefits: Fully remote role with competitive pay and future project opportunities.
- Other info: Work 40 hours a week and boost your chances for exciting future roles.
- Why this job: Be part of groundbreaking AI projects and enhance your career in tech.
- Qualifications: 5+ years of software engineering experience, preferably at a big tech company.
The predicted salary is between 60000 - 80000 £ per year.
Obsidian is recruiting U.K.-based Software Engineers for a research project with a leading foundational model AI lab. You will contribute to high-quality training data for frontier AI systems alongside a team of senior engineers. This completely remote role requires at least 5 years of software engineering experience and experience at a big tech company. Candidates must be available to work 40 hours a week, and successful contributions increase the odds of selection for future projects.
Remote Frontier AI Data Engineer in London employer: Obsidian
At Obsidian, we pride ourselves on being an exceptional employer, offering a fully remote work environment that fosters innovation and collaboration among top-tier software engineers. Our commitment to employee growth is evident through opportunities to work on cutting-edge AI projects with leading experts, while our supportive culture encourages continuous learning and professional development. Join us to be part of a dynamic team where your contributions directly impact the future of frontier AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Frontier AI Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who have experience with AI projects. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work, especially any projects related to AI or data engineering. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience at big tech companies. Confidence is key!
✨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 roles as they come up.
We think you need these skills to ace Remote Frontier AI Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Data Engineer. Highlight your experience in software engineering, especially any work with AI or big tech companies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for this project. We love seeing enthusiasm and a personal touch!
Showcase Relevant Projects:If you've worked on any projects related to AI or data engineering, make sure to mention them. We want to know about your hands-on experience and how you've contributed to similar initiatives in the past.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Obsidian
✨Know Your Tech Inside Out
Make sure you brush up on your software engineering skills, especially those relevant to AI and data engineering. Be prepared to discuss your experience at big tech companies and how it relates to the role you're applying for.
✨Showcase Your Team Spirit
Since this role involves working alongside senior engineers, highlight your ability to collaborate effectively. Share examples of past projects where teamwork was key to success, and be ready to discuss how you can contribute to a remote team environment.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI systems. Practice coding challenges or system design questions that are common in interviews for data engineering roles.
✨Demonstrate Your Passion for AI
Obsidian is looking for candidates who are genuinely interested in frontier AI systems. Be ready to discuss recent advancements in AI, your thoughts on the future of the field, and how you see yourself contributing to innovative projects.
