Backend Developer
DataAnnotation · Washington, United States
- Hybrid
- Full-time
- $100,000 / year
- Washington, United States
Job highlights
- Develop cutting-edge AI systems remotely.
- Set your own schedule, work flexibly.
- Earn $50-$100+ per hour.
- Shape future AI technologies.
- Solve challenging programming problems.
About the role
Backend Developer at DataAnnotation
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 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, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become 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-$100+/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 other 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.
Key skills/competency
- Backend Development
- AI Systems
- Programming
- Kotlin
- JavaScript
- Python
- C++
- Software Engineering
- Data Analysis
- Problem Solving
Skills & topics
- Backend Developer
- AI Development
- Remote Work
- Programming
- Kotlin
- JavaScript
- Python
- Software Engineering
- Data Annotation
- Coding
How to get hired
- Pass the assessment: Complete the short online assessment to demonstrate your coding skills and get started.
- Customize your resume: Highlight your programming experience, including languages like Kotlin, Python, or JavaScript, and any AI-related projects.
- Showcase technical skills: Emphasize your proficiency in backend development and problem-solving abilities relevant to AI training.
- Understand the role: Familiarize yourself with evaluating AI-generated code and providing feedback for model improvement.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for a Backend Developer at DataAnnotation?
- The application process for a Backend Developer at DataAnnotation begins with signing up for an account and completing a short online assessment. If you pass this assessment, you will receive an email confirmation, and paid work opportunities will become available to you through the platform.
- What programming languages are most important for this Backend Developer role at DataAnnotation?
- While Kotlin is preferred for this Backend Developer role at DataAnnotation, proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also highly valued. Demonstrating expertise in at least one of these will strengthen your application.
- Is this a remote Backend Developer position at DataAnnotation?
- Yes, this Backend Developer position at DataAnnotation is fully remote. You can work from anywhere within the US, Canada, UK, Ireland, Australia, and New Zealand.
- What is the expected pay for a Backend Developer at DataAnnotation?
- Backend Developers at DataAnnotation can expect competitive hourly pay, starting between $50-$100+. Opportunities for higher-paying projects are available based on strong performance.
- Does DataAnnotation require a degree for the Backend Developer role?
- DataAnnotation requires that candidates for the Backend Developer role are either completing or have completed a bachelor’s degree. Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is also preferred.
- Can I work on this Backend Developer role at DataAnnotation part-time?
- Yes, the Backend Developer role at DataAnnotation offers a flexible schedule. You can choose which projects to take on and when you work, allowing you to fit this work alongside a full-time role or as your primary focus.
- What kind of impact will I have as a Backend Developer at DataAnnotation?
- As a Backend Developer at DataAnnotation, you will directly contribute to refining intelligent systems that learn, adapt, and evolve. Your work on coding problems and evaluating AI-generated code helps shape the future of AI technologies.