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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 - 40 £ 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 in London employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Developer - Remote, Flexible Hours in London
✨Tip Number 1
Network like a pro! Reach out to folks in the tech community, especially those already working in 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. Practice explaining your thought process clearly, as communication is key in remote roles like this one.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Systems Developer role, and applying directly can give you an edge over other candidates.
We think you need these skills to ace AI Systems Developer - Remote, Flexible Hours in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in programming languages right from the start. We want to see what you can do, so include any relevant projects or coding challenges you've tackled!
Tailor Your Application: Don’t just send a generic application! We love it when candidates customise their applications to fit the role. Mention how your experience aligns with training AI models and evaluating outputs.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your passion for AI systems development shines through!
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!
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 prepared to discuss your experience with coding challenges and how you've tackled similar problems in the past. This will show that you're not just familiar with the language, but that you can 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
With flexible project selection being a key part of the role, be ready to discuss how you manage your time and adapt to different tasks. Share examples of how you've successfully juggled multiple projects or adapted to changing requirements in previous roles.
