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- 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. 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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and backend engineering space on LinkedIn or relevant forums. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI systems and SQL. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Reach out directly to companies you admire, like Lifted, and express your interest in working with them. You never know what might come up!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. It’s super easy, and you’ll be one step closer to landing that remote role as an AI Code Reviewer & Systems Evaluator.
We think you need these skills to ace Remote AI Code Reviewer & Systems Evaluator (Contract)
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 2+ years of experience in backend engineering or AI automation. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and why you’re a great fit for the role.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your proficiency in SQL and how it relates to improving AI systems. This shows us that you’ve done your homework and are genuinely interested!
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 SQL knowledge. Be ready to discuss specific projects you've worked on, especially those involving AI systems. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of examples where your feedback improved system performance or optimised processes. This will demonstrate your ability to contribute effectively to their team.
✨Flexibility is Key
Since this role offers a flexible schedule, be prepared to discuss how you manage your time and prioritise tasks. Share examples of how you've successfully juggled multiple projects or adapted to changing requirements in past positions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current AI projects or how they measure system performance. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.