Data Engineer - AI Trainer
DataAnnotation · Georgia, United States
- Hybrid
- Full-time
- $100,000 / year
- Georgia, United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Remote data engineer role training AI systems.
- Work with AI models, solve coding problems.
- Flexible schedule, choose your own projects.
- Competitive hourly pay, $50-$100+ per hour.
- Contribute to shaping future AI technologies.
About the role
About the Role
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.
Key skills/competency
- Data Engineering
- AI Training
- Programming
- Android Development
- Kotlin
- JavaScript
- Python
- C++
- Software Development
- Problem Solving
Skills & topics
- Data Engineer
- AI Trainer
- Remote Work
- Kotlin
- Python
- JavaScript
- Android Development
- Software Engineer
- Programming
- AI Development
How to get hired
- Tailor your resume: Highlight your programming skills, specifically mentioning Kotlin, Python, JavaScript, or C++. Emphasize any experience with Android development.
- Ace the assessment: Prepare for the coding assessment by practicing problem-solving and code writing. This is your primary interview.
- Showcase writing skills: Ensure your resume and any communications demonstrate excellent English grammar and clarity.
- Understand the role: Familiarize yourself with AI training and data annotation concepts relevant to coding tasks.
Technical preparation
Practice Kotlin and Python coding problems.,Solve Android development challenges.,Review AI code evaluation best practices.,Write clear code explanations.
Behavioral questions
Describe a challenging coding problem you solved.,How do you ensure code clarity and accuracy?,How do you provide constructive feedback?,How do you manage your schedule effectively?
Frequently asked questions
- What is the application process for a Data Engineer AI Trainer at DataAnnotation?
- The application process for a Data Engineer AI Trainer at DataAnnotation begins with signing up for an account on their platform. You will then take a short coding assessment, which serves as the primary interview. Upon passing this assessment, you will receive an email confirmation, and paid work opportunities will become available.
- What programming languages are essential for the Data Engineer AI Trainer role at DataAnnotation?
- While experience in Kotlin is preferred for the Data Engineer AI Trainer role, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating skills in these languages will be key to your success.
- What kind of coding problems will I be solving as a Data Engineer AI Trainer?
- As a Data Engineer AI Trainer, you will design and solve diverse coding problems specifically aimed at training AI systems. This includes tasks with an emphasis on Android development, writing code snippets with detailed explanations, and evaluating AI-generated code for accuracy and performance.
- Can I work as a Data Engineer AI Trainer at DataAnnotation while employed full-time?
- Yes, the Data Annotation platform is designed for flexibility. Many team members fit this work alongside a full-time role, treating it as a primary focus or a supplementary opportunity based on their chosen projects and schedules.
- What is the pay rate for a Data Engineer AI Trainer at DataAnnotation?
- DataAnnotation offers competitive hourly pay for its Data Engineer AI Trainer positions, starting at $50-$100+ per hour. Opportunities for higher-paying projects are available for those who demonstrate strong performance on the platform.
- What are the geographic restrictions for the Data Engineer AI Trainer role?
- The Data Engineer AI Trainer position is available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Work and assessments will not be visible to those outside of these specific countries at this time.