At a Glance
- Tasks: Design and solve coding problems to train AI systems, focusing on Android development.
- Company: Join DataAnnotation, a leading team in AI development with over 100,000 professionals.
- Benefits: Fully remote work, flexible schedule, and competitive pay starting at $40+ per hour.
- Other info: Great opportunity for career growth and collaboration in a dynamic environment.
- Why this job: Shape the future of AI technologies while enjoying flexibility and real-world impact.
- Qualifications: Fluency in English and proficiency in programming languages like Kotlin, JavaScript, or Python.
The predicted salary is between 32000 - 40000 £ per year.
Join the DataAnnotation 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 DataAnnotation’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 synthesising insights through data analysis and visualisation. 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 account and complete a short assessment (our version of an interview). Upon passing, you’ll receive an email confirmation and have access to paid work through our platform.
Benefits- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Flexible schedule: choose which projects you take on and when you work.
- Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.
- Impact: help shape the future of AI technologies.
- Design and solve diverse coding problems used to train AI systems with an emphasis on Android development.
- Write clear, high-quality code snippets and detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback that directly shapes the next generation of AI models.
- Fluency in English (native or bilingual level).
- Preferred experience in Kotlin.
- Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- Excellent writing and grammar skills.
- A bachelor’s degree (completed or in progress).
- Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
Android Software Engineer - AI Trainer employer: DataAnnotation
DataAnnotation is an exceptional employer that offers a fully remote work environment, allowing you to balance your professional and personal life while contributing to groundbreaking AI development. With a flexible schedule and competitive pay starting at $40+ USD per hour, you can choose projects that align with your skills and goals, all while being part of a vibrant community of over 100,000 professionals dedicated to making a real-world impact in technology. Join us to not only advance your career but also help shape the future of AI technologies in a supportive and innovative culture.
StudySmarter Expert Advice🤫
We think this is how you could land Android Software Engineer - AI Trainer
✨Make Your Portfolio Shine
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Sign up for popular freelance platforms such as Upwork or Freelancer. They’re filled with people looking for talent like yours! Don’t forget to personalise your pitch to each potential client, highlighting how your unique skills can solve their specific problems.
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We think you need these skills to ace Android Software Engineer - AI Trainer
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at DataAnnotation, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects DataAnnotation is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at DataAnnotation.
How to prepare for a job interview at DataAnnotation
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at DataAnnotation. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at DataAnnotation. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
