Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train AI models by coding challenges and evaluate their performance.
- Company: Dynamic tech company offering remote work and flexible hours.
- Benefits: Hourly pay starting at $40+, with part-time or full-time options.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Proficient in at least one programming language and fluent in English.
- Other info: Flexible project selection for a balanced work-life experience.
The predicted salary is between 30 - 44 £ per hour.
A technology company is seeking a Systems Developer to join their team in the United Kingdom. This remote position involves training AI models by providing coding challenges and evaluating their outputs for correctness and performance.
Candidates should be proficient in at least one programming language and fluent in English. The role offers flexible project selection and an hourly pay starting at $40+, making it suitable for those looking for a part-time or full-time opportunity.
AI Systems Developer - Remote, Flexible Hours employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Developer - Remote, Flexible Hours
✨Tip Number 1
Network like a pro! Reach out to folks in the tech community, especially those who work with AI. Join relevant online forums or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding challenges and AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common coding challenges and AI concepts. We recommend practising with mock interviews to build confidence and refine your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Systems Developer - Remote, Flexible Hours
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in programming languages right from the get-go. We want to see what you can do, so include examples of your work or projects that showcase your coding prowess!
Tailor Your Application: Don’t just send a generic application! Take a moment to customise your CV and cover letter to reflect how your experience aligns with the AI Systems Developer role. We love seeing candidates who take the time to connect their skills to our needs.
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 experience and why you’re a great fit for the team.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at DataAnnotation
✨Know Your Code
Make sure you brush up on your programming skills before the interview. Be ready to discuss your experience with coding challenges and how you've tackled them in the past. This will show that you're not just familiar with the language but can also apply it effectively.
✨Understand AI Fundamentals
Since the role involves training AI models, it's crucial to have a solid understanding of AI concepts. Familiarise yourself with common algorithms and evaluation metrics. Being able to discuss these topics will demonstrate your expertise and enthusiasm for the field.
✨Prepare for Practical Tests
Expect to face some coding challenges during the interview. Practice solving problems on platforms like LeetCode or HackerRank. This will help you think on your feet and showcase your problem-solving skills under pressure.
✨Show Your Flexibility
Highlight your ability to work on various projects and adapt to different requirements. Since the position offers flexible project selection, sharing examples of how you've successfully managed multiple tasks or adapted to changing priorities will make you stand out.
