At a Glance
- Tasks: Enhance AI systems by providing valuable human feedback and optimising performance.
- Company: Lifted, an Upwork Company™, known for innovation and flexibility.
- Benefits: Flexible schedule, project-based work, and the chance to shape AI technology.
- Other info: Work remotely with a focus on impactful projects and personal growth.
- Why this job: Join a cutting-edge team and make a real difference in AI development.
- Qualifications: 2+ years in backend engineering or AI automation, with SQL skills.
The predicted salary is between 40000 - 50000 £ per year.
Lifted, an Upwork Company™, is seeking a Copy of AI Code Reviewer & Systems Evaluation Engineer 1. This remote role involves improving AI systems through human feedback, focusing on systems evaluation and performance optimization.
Candidates should have over 2 years of experience in backend engineering or AI automation, along with proficiency in SQL.
The position offers a flexible schedule and project-based engagement with no guaranteed hours, working on tasks based on availability and assignments.
Remote AI Code Reviewer & Systems Evaluator (Contract) in London employer: Lifted, an Upwork Company™
Contact Detail:
Lifted, an Upwork Company™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Code Reviewer & Systems Evaluator (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and backend engineering space. Join relevant online communities, attend virtual meetups, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to AI systems and performance optimisation. This is your chance to demonstrate your expertise in SQL and backend engineering, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI code review and systems evaluation. Practice articulating your thought process when tackling problems, as this will help you stand out as a candidate who can provide valuable human feedback.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Remote AI Code Reviewer & Systems Evaluator (Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend engineering and AI automation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving AI systems and how your background makes you a perfect fit for this role. Keep it engaging and personal!
Showcase Your SQL Skills: Since proficiency in SQL is key for this position, make sure to mention any relevant experience or projects where you've used SQL effectively. We love seeing concrete examples of your work!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Lifted, an Upwork Company™
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and AI automation knowledge. Be ready to discuss specific projects you've worked on, especially those involving SQL. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've improved systems in the past. Think of examples where your feedback led to performance optimisation. This role is all about enhancing AI systems, so demonstrating your analytical thinking will be key.
✨Flexibility is Key
Since this position offers a flexible schedule, be prepared to discuss how you manage your time effectively. Share examples of how you’ve successfully juggled multiple projects or tasks in the past, showing that you can adapt to changing priorities.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current challenges the team faces with their AI systems or how they measure success in performance optimisation. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.