Android Developer AI Trainer ML, AI 🏆

Android Developer AI Trainer 💰 Salary: $104,000 - 208,000 per year

At DataAnnotation we are looking for a ML, AI engineer!

🛠️ Our tech stack

AI, Android, C#, Java, JavaScript, Kotlin, Machine Learning, Python, React, Swift, TypeScript, Machine-Learning

📝 Rquirements

• We require native-level or bilingual fluency in English.
• We need strong proficiency in at least one of these languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
• We value excellent writing ability and solid command of grammar.
• We require a bachelors degree, either completed or currently in progress.
• We prefer prior experience as a Software Developer, Coder, Software Engineer, or Programmer.

👩💻👨💻 Your responsibilities are

• We design and solve varied coding challenges used to train AI systems.
• We write clear, high-quality code examples and thorough explanations.
• We review AI-generated code for correctness, efficiency, and readability.
• We provide feedback that helps improve future generations of AI models.
• We contribute programming, app-building, and data analysis tasks that support AI development.

View this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITJobs

Category: ML, AI Developer / Engineer

Location address: Willow Avenue 522, Clifton, United States

Salary: $104,000 - 208,000 per year

Benefits & perks that we offer

DataAnnotation - More about us and the role

We are DataAnnotation, and we offer remote work opportunities for professionals who want to help build advanced AI systems. Our team includes over 100,000 coding and technical contributors across front-end, back-end, full-stack, machine learning, and related disciplines. We provide flexible project selection and scheduling, with hourly pay ranging from $50 to $100+ USD depending on performance and project type. Our work is fully remote and available to candidates in the US, Canada, the UK, Ireland, Australia, and New Zealand. To join us, candidates complete a short assessment through our platform, and successful applicants can begin paid work. We support contributors who want to pair this work with another role or make it their primary focus, while helping shape the future of AI technology.

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