At a Glance
- Tasks: Develop cutting-edge AI systems and tackle challenging coding problems.
- Company: Join DataAnnotation, a vibrant community of over 100,000 tech professionals.
- Benefits: Enjoy remote work flexibility, set your own schedule, and competitive pay.
- Other info: Great career growth opportunities in a dynamic and supportive environment.
- Why this job: Make a real impact in AI development while working with state-of-the-art technology.
- Qualifications: Proficient programming skills and a passion for AI development.
The predicted salary is between 40000 - 50000 £ per year.
Android Software Engineer at Data Annotation
Join the Data Annotation team and contribute to developing cutting‑edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
We are looking for proficient programmers to help advance AI development.
As a member of Data Annotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front‑end, back‑end, full‑stack, machine learning, and other engineers — who are driving real‑world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state‑of‑the‑art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization.
Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.
Some team members fit this work alongside a full‑time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, sign up for an
Android Software Engineer - AI Trainer in London employer: DataAnnotation
DataAnnotation is an exceptional employer that values flexibility and independence, allowing you to work remotely from the United Kingdom while setting your own schedule. With a focus on meaningful projects in AI training, the company fosters a collaborative work culture that encourages personal growth and skill development in mathematics. Join us to be part of a dynamic team where your expertise can make a significant impact in the evolving field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Android Software Engineer - AI Trainer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at DataAnnotation or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to DataAnnotation.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like DataAnnotation.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like DataAnnotation that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Android Software Engineer - AI Trainer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at DataAnnotation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DataAnnotation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at DataAnnotation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If DataAnnotation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
