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- Tasks: Train AI models and evaluate chatbot performance through coding challenges.
- Company: Join a forward-thinking tech team focused on AI innovation.
- Benefits: Flexible remote work, choose your projects, and earn $40+ per hour.
- Why this job: Make a real impact in AI development while working on exciting projects.
- Qualifications: Proficient in programming languages and detail-oriented problem solver.
- Other info: Great opportunity for career growth and flexible scheduling.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Systems Developer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
Responsibilities:
- Give AI chatbots coding challenges and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
Qualifications:
- Proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) to solve coding problems (think LeetCode, HackerRank, etc). You must be able to explain how your solution solves the problem.
- Fluency in English (native or bilingual level)
- Detail-oriented
- Experience with algorithms, data structures, and debugging workflows
- A current, in progress, or completed Bachelor’s degree is preferred but not required
Benefits:
- This is a full-time or part-time REMOTE position
- You’ll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
Systems Developer in London employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding challenges and projects. This gives us a chance to see your problem-solving abilities in action, which is super important for a Systems Developer role.
✨Tip Number 3
Prepare for technical interviews by practising coding problems on platforms like LeetCode or HackerRank. We want to see how you think through problems, so make sure you can explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Systems Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in programming languages like JavaScript, Python, or C++. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about the Systems Developer role and how your background makes you a great fit. Keep it conversational but professional – we love a bit of personality!
Showcase Problem-Solving Skills: Since you'll be evaluating AI models, it’s crucial to demonstrate your problem-solving abilities. Mention any coding challenges you've tackled or algorithms you've implemented. We want to see your thought process!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at DataAnnotation
✨Know Your Code Inside Out
Make sure you’re comfortable with the programming languages mentioned in the job description. Be ready to discuss your previous projects and how you’ve used these languages to solve real problems. Practising coding challenges on platforms like LeetCode or HackerRank can really help you articulate your thought process during the interview.
✨Showcase Your Problem-Solving Skills
During the interview, you might be given coding challenges or scenarios to evaluate. Approach these problems methodically: explain your reasoning, outline your thought process, and don’t hesitate to ask clarifying questions. This shows that you’re detail-oriented and capable of tackling complex issues.
✨Brush Up on Algorithms and Data Structures
Since the role involves evaluating AI models, having a solid understanding of algorithms and data structures is crucial. Review common algorithms and their applications, and be prepared to discuss how they can improve the performance of AI systems. This knowledge will set you apart from other candidates.
✨Communicate Clearly and Confidently
Fluency in English is key, so practice explaining your ideas clearly and confidently. Whether it’s discussing your coding solutions or evaluating AI outputs, being able to communicate effectively will demonstrate your ability to work collaboratively within a team. Remember, it’s not just about what you know, but how you share that knowledge!
