Senior Android Developer - AI Data Annotation

About The Company

DataAnnotation is a pioneering technology company dedicated to advancing artificial intelligence through innovative data labeling and annotation solutions. Our platform connects a global community of over 100,000 skilled professionals, including developers, engineers, and data scientists, who collaborate to enhance AI systems across various industries. Committed to fostering a flexible and inclusive work environment, DataAnnotation empowers individuals to contribute meaningfully to cutting-edge AI development while enjoying the benefits of remote work. Our mission is to facilitate the creation of intelligent, adaptive systems that shape the future of technology and society.

About The Role

We are seeking proficient programmers to join our dynamic coding team at DataAnnotation. This role offers an exciting opportunity to work remotely on challenging programming tasks that directly impact the evolution of AI systems. As part of our team, you will collaborate with state-of-the-art AI models, solving complex coding problems, developing feature-rich applications, and analyzing data to derive actionable insights. Whether you are looking to supplement your current employment or dedicate yourself fully to AI projects, this position provides the flexibility to align work with your personal schedule and career goals. Your contributions will help refine intelligent systems that learn, adapt, and improve over time, making a tangible difference in the AI landscape.

Qualifications

• Fluency in English, with native or bilingual proficiency.
• 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 to communicate complex technical concepts clearly.

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• Possession of a bachelor’s degree, either completed or in progress.
• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred but not mandatory.
• Availability to work within the specified countries: US, Canada, UK, Ireland, Australia, and New Zealand.
  
  

Responsibilities

• Design, develop, and solve diverse coding problems used to train AI systems, with a focus on Android development when applicable.
• Write clear, efficient, and high-quality code snippets along with comprehensive explanations to facilitate understanding and further development.
• Evaluate AI-generated code for accuracy, performance, and clarity, providing constructive feedback for improvement.

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• Contribute to the iterative process of refining AI models by offering insights and feedback based on your coding evaluations.
• Collaborate with team members to ensure the quality and consistency of programming tasks and deliverables.
  
  

Benefits

Working with DataAnnotation offers numerous advantages, including the ability to work fully remotely from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand. The role provides a flexible schedule, allowing you to choose projects that align with your availability and personal commitments. Compensation is competitive, with hourly rates reaching up to $60 USD, and opportunities for higher-paying projects based on your performance. By joining our team, you will have the chance to make a tangible impact on the development of AI technologies that are transforming industries and society as a whole. Additionally, you will gain valuable experience working with advanced AI models and contribute to shaping the future of intelligent systems.

Equal Opportunity

DataAnnotation is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all qualified applicants regardless of race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives and experiences drive innovation and excellence, and we welcome applicants from all backgrounds to join our team. Our hiring process is designed to be fair and equitable, ensuring that every candidate is evaluated solely on their skills, experience, and potential to contribute to our mission.