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- Tasks: Design and solve coding problems to train cutting-edge AI systems.
- Company: Join a vibrant community of over 100,000 tech professionals.
- Benefits: Fully remote work, flexible schedule, and competitive pay starting at $50-75+/hr.
- Why this job: Shape the future of AI while enjoying flexibility and real-world impact.
- Qualifications: Fluency in English and proficiency in programming languages like Kotlin, JavaScript, or Python.
- Other info: Great career growth opportunities and projects that fit your availability.
The predicted salary is between 40000 - 60000 ÂŁ 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. After signing up for an account, a short assessment will determine eligibility. If you pass, paid work will be made available to you 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 $50‑75+/hr. Opportunities for higher‑paying projects are available with strong performance.
- Impact: help shape the future of AI technologies.
Responsibilities
- 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.
Qualifications
- 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.
Note: 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.
Software Integration Engineer - AI Trainer employer: DataAnnotation
Contact Detail:
DataAnnotation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Integration Engineer - AI Trainer
✨Tip Number 1
Network like a pro! Reach out to fellow programmers and AI enthusiasts on platforms like LinkedIn or GitHub. Join relevant groups and forums where you can share your skills and learn from others — it’s all about making connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best coding projects, especially those related to AI or software integration. This is your chance to demonstrate what you can do, so make sure it’s easy to navigate and highlights your strengths.
✨Tip Number 3
Don’t just apply — engage! When you find a role that excites you, take the time to research the company and its projects. Tailor your approach by mentioning specific aspects of their work in your communications. This shows genuine interest and can set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the easiest way to get started with us at StudySmarter. After signing up, complete the assessment to showcase your skills, and if you pass, you’ll have access to paid projects that fit your schedule. Let’s shape the future of AI together!
We think you need these skills to ace Software Integration Engineer - AI Trainer
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your programming skills and any relevant experience. We want to see what you've done in the past, so don’t hold back on showcasing your projects or coding challenges you've tackled!
Be Clear and Concise: We love a good, clear explanation! When you write about your experiences or skills, keep it straightforward and to the point. This helps us understand your background quickly and makes your application stand out.
Tailor Your Application: Make sure to tailor your application to the Software Integration Engineer role. Mention specific programming languages and frameworks you’re proficient in, especially Kotlin, as it’s preferred for this position. Show us why you’re the perfect fit!
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and get you started on the assessment. Plus, it keeps everything organised on our end, making the process smoother for everyone.
How to prepare for a job interview at DataAnnotation
✨Know Your Code
Make sure you brush up on your coding skills, especially in Kotlin and any other languages mentioned in the job description. Be prepared to discuss your previous projects and how you approached coding challenges. Practising coding problems related to AI systems can give you a solid edge.
✨Showcase Your Communication Skills
Since you'll be writing clear code snippets and explanations, it's crucial to demonstrate your ability to communicate effectively during the interview. Prepare to explain your thought process clearly and concisely, as this will reflect your writing skills and help the interviewers understand your approach.
✨Familiarise Yourself with AI Concepts
Dive into the basics of AI and machine learning, especially how they relate to software integration. Being able to discuss how your work contributes to AI development will show your enthusiasm for the role and your understanding of the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, projects, and company culture. This not only shows your interest in the position but also helps you gauge if the role aligns with your career goals. Plus, it’s a great way to engage with your interviewers and leave a lasting impression.