DataAnnotation
How would you explain DataAnnotation to your friend in 3 sentences?
DataAnnotation is a remote work platform that enables individuals to earn money by assisting in training artificial intelligence systems. With flexible hours and competitive pay starting at $20 per hour, workers can choose projects that align with their skills and interests. The company operates globally, accepting applications from the United States, Canada, the UK, New Zealand, and Australia.
DataAnnotation - current job openings
🔍 Check out the active job openings at DataAnnotation
👩💻 How much does DataAnnotation pay?
DataAnnotation offers a diverse range of AI Trainer positions with competitive salaries that vary based on role and expertise. Here’s a breakdown of the compensation offered:
- Entry-level positions or those requiring less specialized skills, such as Primary Teacher and several Automation and Content Developer roles, have salaries in the range of **$59,904** to **$83,200**.
- Mid-level roles, including positions like Infrastructure Engineer, AI/ML Developer, and various Analyst roles, typically offer salaries from **$72,800** to **$83,200**.
- More advanced positions, such as Data Engineer, Solutions Architect, and Data Scientist, command higher salaries, often ranging from **$109,863** to **$119,017**, with top-tier positions like Statistician and Application Developer reaching as high as **$148,772**.
Overall, the salary spectrum indicates that DataAnnotation values technical talent highly, especially in AI and data-related fields, ensuring that skilled professionals are compensated fairly for their expertise and contributions.
🛠️ Tech stack & Development process at DataAnnotation
Technologies that we use
DataAnnotation is focused on leveraging a diverse and robust technology stack that includes AI, C#, Java, JavaScript, Kotlin, Python, React, SQL, Swift, and TypeScript. This indicates a strong emphasis on both web and application development, as well as artificial intelligence solutions. The company is looking for candidates with expertise in a variety of programming languages and frameworks, particularly those who are proficient in AI technologies, back-end development with C# or Java, front-end development using React or JavaScript, and data management with SQL. Additionally, familiarity with mobile development (Swift and Kotlin) and modern web development (TypeScript) would be highly beneficial. Ideal candidates will possess a well-rounded skill set that spans both development and AI integration, making them versatile contributors to the team.